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ý
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ANNUAL REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934
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TRANSITION REPORT PURSUANT TO SECTION 13 OR 15(d) OF THE SECURITIES EXCHANGE ACT OF 1934
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Delaware
(State or Other Jurisdiction of
Incorporation or Organization)
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20-5455398
(I.R.S. Employer
Identification Number)
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Title of Each Class
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Name of Each Exchange on Which Registered
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Common Stock, par value $0.001 per share
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The Nasdaq Stock Market LLC
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Large accelerated filer
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o
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Accelerated filer
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ý
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Non-accelerated filer
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o
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Smaller reporting company
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ý
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Emerging growth company
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Item No.
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Page No.
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•
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Unique Biorepositories - When we develop new tests, we build extensive, robust biorepositories of patient-consented samples and information from Institutional Review Board-approved clinical trials to inform our discovery efforts. Our biorepositories are designed to encompass the broad spectrum of disease that our tests may encounter when used in clinical practice, as well as the wide range of conditions associated with patients who are suspected of having a particular disease. We typically assemble hundreds of samples that are paired with clinical truth labels, as well as a range of clinical, pathology and/or imaging data. We extract extensive genomic information from these patient samples using our RNA whole-transcriptome sequencing platform.
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Proprietary Technology and Bioinformatics - For biomarker discovery and product development, we utilize machine learning to select the genes and gene features in our biorepository that best distinguish the condition we are trying to identify. This enables us to develop high-performing genomic classifiers that can answer specific clinical questions. In addition, our bioinformatics pipelines are built to extract genomic variant content from the same assay to inform therapeutic selection.
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High-Performing Commercial Genomic Tests - Our genomic tests serve largely untapped markets where they are changing the diagnostic paradigm for patients. Further, because every sample is run on our RNA whole-transcriptome sequencing platform, we can provide physicians with gene alteration information that may help guide surgical strategy or therapy selection.
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•
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Revenue
was $25.8 million and $92.0 million, respectively, an increase of 31% and 28%;
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Gross Margin
was 66% and 64%, respectively, an increase of 6% and 3%;
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Operating Expenses, Excluding Cost of Revenue,
were $20.1 million and $81.2 million, respectively, an increase of 12% and 15%;
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•
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Net Loss and Comprehensive Loss
was ($3.1) million and ($23.0) million, respectively, an improvement of 63% and 26%;
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•
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Basic and Diluted Net Loss Per Common Share
was ($0.08) and ($0.62), respectively, an improvement, of 67% and 32%;
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•
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Net Cash Used in Operating Activities
was $1.2 million and $13.5 million, respectively, an improvement of 79% and 44%;
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•
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Cash Burn
(1)
was $1.7 million and $15.4 million, respectively, an improvement of 73% and 39%; and
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•
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Cash and Cash Equivalents
was $78.0 million at December 31, 2018.
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Grew total genomic test volume to 9,154 tests in the fourth quarter of 2018, representing 28% growth over 2017, which resulted in full-year 2018 growth of 22% over 2017, or 31,710 tests.
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Transitioned all Afirma customers to the second-generation Afirma Genomic Sequencing Classifier (GSC) platform and launched the Afirma Xpression Atlas to provide a comprehensive solution that informs both thyroid cancer diagnosis and treatment decisions. Notably, 30% of Afirma GSC orders included Xpression Atlas in 2018, ahead of the company’s expectations.
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•
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Grew Percepta Bronchial Genomic Classifier volume to nearly 1,550 tests in its first full year of commercialization, with genomic volume accelerating 74% sequentially from the third quarter to the fourth quarter of 2018.
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Esta
blished 20 leading Early Access Program (EAP) sites across the United States for Envisia in 2018, addressing physician demand for patient access to the classifier which improves idiopathic pulmonary fibrosis (IPF) diagnosis and builds a solid foundation for the company to commercially expand it in 2019.
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Executed a long-term strategic collaboration with Johnson & Johnson, LLC and Johnson & Johnson’s Lung Cancer Initiative to advance diagnostics, including a nasal swab test, for early lung cancer detection. Veracyte estimates the combined monetary and non-monetary value of the collaboration to be more than $50 million. The company believes this collaboration expands its addressable lung cancer diagnostic market to a more than $30 billion global opportunity.
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Entered into a research collaboration with Loxo Oncology, through which Loxo has access to data from Veracyte’s Afirma Xpression Atlas platform to help in its development of therapies for patients with genetically defined cancers, including thyroid cancer.
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Received draft Medicare coverage for the Envisia Genomic Classifier through the MolDX program, with a final positive coverage decision expected in early 2019.
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Achieved in-network status as a service provider with the last of the major commercial health plans, which Veracyte believes will facilitate coverage and reimbursement for its Percepta and Envisia classifiers.
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Afirma
-
Published clinical validation data for the Afirma GSC in
JAMA Surgery
, demonstrating the next-generation test’s ability to help approximately 70% of patients with indeterminate thyroid nodules avoid unnecessary surgery. Presented 12 Afirma studies at three endocrinology conferences, including real-world data showing that the Afirma GSC is helping even more patients avoid unnecessary surgery than is suggested by the clinical validation study findings.
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Percepta
- Presented early, interim results at the 2018 CHEST Annual Meeting from the ongoing registry clinical utility study showing the test changed clinical decision-making and reduced invasive procedures at every evaluation time point up to 12 months post-testing.
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Envisia
- Published a study quantifying and qualifying the challenges in obtaining timely, accurate diagnosis of IPF and other interstitial lung diseases, thus underscoring the clinical need for the Envisia classifier. Presented data at a leading pulmonology conference demonstrating the test’s ability to improve the diagnosis of IPF without the need for surgery.
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In July 2018, we issued and sold 5,750,000 shares of common stock in a registered public offering, including the underwriters' exercise in full of their option to purchase an additional 750,000 shares, at a price to the public of $10.25 per share. Net proceeds from the offering were approximately $55.0 million.
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In January 2019, we used $12.5 million of cash and cash equivalents to reduce our principal debt balance from $25.0 million to $12.5 million.
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Afirma Genomic Sequencing Classifier and Xpression Atlas.
Our Afirma offering, consisting of the Afirma GSC and the Afirma Xpression Atlas, provides physicians with a comprehensive solution for a complex landscape in thyroid nodule diagnosis. The combined offering is intended to provide physicians with clinically actionable results from a single fine needle aspiration, or FNA biopsy. The Afirma GSC was developed with RNA whole-transcriptome sequencing and machine learning, and is used to identify patients with benign thyroid nodules among those with indeterminate cytopathology results in order to rule out unnecessary thyroid surgery. The Afirma product is the first of its kind to market, and we believe the market leader.
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Percepta Bronchial Genomic Classifier.
The Percepta classifier improves lung cancer diagnosis by enhancing the performance of diagnostic bronchoscopies, thus identifying more patients with lung nodules who are at low risk of cancer and may avoid further, invasive procedures. The test is built upon foundational "field of injury" science - through which genomic changes associated with lung cancer in current and former smokers can be identified with a simple brushing of a person's airway - without the need to sample the often hard-to-reach nodule directly. The Percepta classifier is the first product of its kind to be available commercially and the first to obtain Medicare coverage for improved lung cancer diagnosis.
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Envisia Genomic Classifier.
The Envisia classifier improves diagnosis of IPF by helping physicians better differentiate IPF from other interstitial lung diseases, or ILDs, without the need for surgery. The test identifies the genomic pattern of usual interstitial pneumonia, or UIP, a hallmark of IPF, with high accuracy on patient samples that are obtained through transbronchial biopsy, a nonsurgical procedure that is commonly used in lung evaluation. Obtaining an accurate, timely IPF diagnosis is important given the availability of drugs that can slow the progression of this debilitating disease, as well as the need to avoid inappropriate and potentially harmful treatment. IPF is often difficult to distinguish from other ILDs, even with the most advanced imaging technologies. Further, diagnostic surgery is risky, expensive and may not be viable for some patients. The Envisia classifier is the first product of its kind to market. In 2018, we launched an Early Access Program to begin making the Envisia classifier available to physicians and patients in advance of nationwide expansion. As of December 31, 2018, 20 sites were participating in the program. In August 2018, we obtained draft positive Medicare coverage for the Envisia classifier. We expect to receive final positive Medicare coverage in early 2019.
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Core Expertise in Broad-based Genomic Analysis.
Our team of bioinformatics and computational scientists possess extensive knowledge of both existing computational methods as well as the capacity to develop proprietary methods as needed for algorithm design. We demonstrated our ability to utilize large amounts of genomic data with machine learning algorithms in the development of the Afirma GEC on microarrays. We have extended this capability substantially by accessing genomic features through deep RNA sequencing for the development of Afirma GSC. Our expertise allows us to use a combination of expression analysis as well as mutations and variants to build our sophisticated machine learning algorithms, all on the same platform.
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Platform-Agnostic Approach.
We are not reliant on any one technology platform to measure genomic signals; in fact, we may take advantage of a multitude of genomic methodologies to develop future tests. When we developed the Afirma GEC in 2008, microarray technologies were a cost-effective discovery technology compared to other approaches that were nascent at the time. More recently, the rapid cost reductions achieved in next generation sequencing platforms have allowed us to pursue our whole genome approach to biomarker discovery using a range of genomic features obtained through both DNA and RNA sequencing. From this vast array of sequence data, our algorithms select those genomic signals that inform on the disease in question, in the relevant biopsy sample. We continue to evaluate potential opportunities to use new genomic discoveries and technologies to further improve patient care.
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Proprietary Capabilities in Analyzing Small, Heterogeneous Cytology Samples.
We have developed proprietary technology, intellectual property and know-how for optimized methods for extraction and analysis of nanogram quantities of RNA from small biopsy samples. Our focus is on redefining clinical truth, using patient samples obtained through less-invasive techniques, thereby increasing access to our technology by a larger patient population. While others can extract RNA from these small biopsies, we believe our process is optimized and scaled for high-throughput clinical testing and large-scale clinical development studies, such as those involving high-density microarrays and next-generation sequencing.
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Precision and Reproducibility.
We have in place standard operating procedures governing reagents, materials, instruments and controls and extensive experience from numerous verification studies performed for our tests. We apply the same high-quality control methods that were developed for our reagents and processes, along with our proprietary software for automation, sample tracking, data quality control and statistical analysis, to our development process.
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FNAs for Afirma Genomic Testing Only.
Institutions and other clients, such as laboratories, that perform their own cytopathology may send us FNA samples from indeterminate results to perform Afirma genomic testing. We receive approximately 65% of our Afirma test volume from this source and it is the fastest-growing segment of our business.
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FNAs for Cytopathology and Reflexed Afirma Genomic Testing.
We receive FNA samples from ordering physicians for cytopathology assessment and if results are indeterminate, Afirma genomic testing is to be performed. We partner with Thyroid Cytopathology Partners, or TCP, to perform the cytopathology review.
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•
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Bronchoscopy Samples for Percepta Classifier.
Institutions and laboratories that perform their own cytopathology may send us samples collected during the bronchoscopy procedure and order genomic testing with the Percepta classifier when bronchoscopy results are inconclusive.
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•
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Bronchoscopy Samples for Envisia Classifier.
Institutions send us samples to help better differentiate IPFs from other ILDs without the need for surgery. These samples are collected using transbronchial biopsy.
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•
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Compile a Growing Library of Peer-reviewed Studies that Demonstrate the Test Is Effective.
To date, several peer-reviewed articles and review papers have been published and have helped support our efforts aimed at widespread adoption and reimbursement of our genomic tests. In each disease area we pursue, we intend to conduct studies in order to develop robust library of evidence.
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Meet the Evidence Standards Necessary to Be Consistent with Leading Clinical Guidelines.
We believe inclusion in leading clinical practice guidelines plays an important role in payers' coverage decisions. For example, the data published on Afirma to date is consistent with the recommendations of the widely-recognized American Thyroid Association and National Comprehensive Cancer Network clinical practice guidelines.
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Execute an Internal Managed Care and Claims Adjudication Function as Part of Our Core Business Operations.
We believe that obtaining adequate and widespread reimbursement is a critical factor in our long-term success. We employ a team of in-house claims processing and reimbursement specialists who work with payers, physician practices and patients to obtain maximum reimbursement.
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Collaborate with Network of Key Opinion Leaders.
Key opinion leaders are able to impact clinical practice by publishing research and determining whether new tests should be integrated into practice guidelines. We collaborate with key opinion leaders early in the development process to ensure our clinical studies are designed and executed in a way that clearly demonstrates the benefits of our tests to patients, physicians and payers. Ongoing studies to support real world experience with our tests are also a key component of our efforts to collaborate with physician thought leaders.
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•
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Established Payer Relationships and In-network Contracts.
We believe that positive engagement with payers leads to coverage decisions and facilitates our efforts on coverage and contract decisions for subsequent tests.
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•
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Medicare accounted for 29%, 26% and 27% of our revenue; and
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•
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UnitedHealthcare accounted for 12%, 14% and 12% of our revenue.
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the ability of the test to answer the appropriate clinical question at the right point in the clinical pathway;
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•
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the quality and strength of clinical validation and utility data;
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•
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confidence in diagnostic results backed by analytical verification data;
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•
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the extent of reimbursement and in-network payer contracts;
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•
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inclusion in practice guidelines;
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•
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cost-effectiveness; and
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•
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ease of use.
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•
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inability to secure sufficient numbers of samples at an acceptable cost and on an acceptable timeframe to conduct analytical and clinical studies; or
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•
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actual or anticipated variations in our and our competitors’ results of operations;
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•
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announcements by us or our competitors of new products, commercial relationships or capital commitments;
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•
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changes in reimbursement by current or potential payers, including governmental payers;
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•
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issuance of new securities analysts’ reports or changed recommendations for our stock;
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•
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fluctuations in our revenue, due in part to the way in which we recognize revenue;
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•
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actual or anticipated changes in regulatory oversight of our products;
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•
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developments or disputes concerning our intellectual property or other proprietary rights;
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commencement of, or our involvement in, litigation;
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•
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announced or completed acquisitions of businesses or technologies by us or our competitors;
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•
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any major change in our management; and
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•
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general economic conditions and slow or negative growth of our markets.
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•
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authorize our board of directors to issue, without further action by the stockholders, up to 5.0 million shares of undesignated preferred stock;
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•
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require that any action to be taken by our stockholders be effected at a duly called annual or special meeting and not by written consent;
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•
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specify that special meetings of our stockholders can be called only by our board of directors, our chairman of the board, or our chief executive officer;
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•
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establish an advance notice procedure for stockholder approvals to be brought before an annual meeting of our stockholders, including proposed nominations of persons for election to our board of directors;
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•
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establish that our board of directors is divided into three classes, Class I, Class II and Class III, with each class serving staggered terms;
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•
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provide that our directors may be removed only for cause;
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•
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provide that vacancies on our board of directors may, except as otherwise required by law, be filled only by a majority of directors then in office, even if less than a quorum;
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•
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specify that no stockholder is permitted to cumulate votes at any election of directors; and
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•
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require a super-majority of votes to amend certain of the above-mentioned provisions.
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December 31,
2014 |
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December 31,
2015 |
|
December 31,
2016 |
|
December 31,
2017 |
|
December 31,
2018 |
||||||||||
|
Veracyte, Inc.
|
|
$
|
73.00
|
|
|
$
|
54.00
|
|
|
$
|
58.00
|
|
|
$
|
49.00
|
|
|
$
|
95.00
|
|
|
Nasdaq Global Market Index
|
|
$
|
121.00
|
|
|
$
|
128.00
|
|
|
$
|
137.00
|
|
|
$
|
176.00
|
|
|
$
|
169.00
|
|
|
Nasdaq Biotechnology Index
|
|
$
|
148.00
|
|
|
$
|
165.00
|
|
|
$
|
129.00
|
|
|
$
|
157.00
|
|
|
$
|
147.00
|
|
|
|
Year Ended December 31,
|
||||||||||||||||||
|
|
2018
|
|
2017
|
|
2016
|
|
2015
|
|
2014
|
||||||||||
|
Statements of Operations Data:
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|||||
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Revenue
|
$
|
92,008
|
|
|
$
|
71,953
|
|
|
$
|
65,085
|
|
|
$
|
49,503
|
|
|
$
|
38,190
|
|
|
Operating expenses:
|
|
|
|
|
|
|
|
|
|
|
|
|
|||||||
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Cost of revenue
(1)
|
33,078
|
|
|
28,195
|
|
|
25,462
|
|
|
21,497
|
|
|
16,606
|
|
|||||
|
Research and development
(1)
|
14,820
|
|
|
13,881
|
|
|
15,324
|
|
|
12,796
|
|
|
9,804
|
|
|||||
|
Selling and marketing
(1)
|
41,313
|
|
|
32,260
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|
|
28,248
|
|
|
25,293
|
|
|
21,932
|
|
|||||
|
General and administrative
(1)
|
23,963
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|
|
23,088
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|
|
23,787
|
|
|
22,583
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|
|
18,854
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|
|||||
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Intangible asset amortization
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1,067
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|
|
1,067
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|
|
1,067
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|
|
800
|
|
|
—
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|
|||||
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Total operating expenses
(1)
|
114,241
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|
|
98,491
|
|
|
93,888
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|
|
82,969
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|
|
67,196
|
|
|||||
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Loss from operations
|
(22,233
|
)
|
|
(26,538
|
)
|
|
(28,803
|
)
|
|
(33,466
|
)
|
|
(29,006
|
)
|
|||||
|
Interest expense
|
(1,963
|
)
|
|
(4,941
|
)
|
|
(2,757
|
)
|
|
(378
|
)
|
|
(439
|
)
|
|||||
|
Other income, net
|
1,197
|
|
|
476
|
|
|
202
|
|
|
140
|
|
|
72
|
|
|||||
|
Net loss and comprehensive loss
|
$
|
(22,999
|
)
|
|
$
|
(31,003
|
)
|
|
$
|
(31,358
|
)
|
|
$
|
(33,704
|
)
|
|
$
|
(29,373
|
)
|
|
Net loss per common share, basic and diluted
|
$
|
(0.62
|
)
|
|
$
|
(0.91
|
)
|
|
$
|
(1.09
|
)
|
|
$
|
(1.30
|
)
|
|
$
|
(1.36
|
)
|
|
Shares used in computing net loss per common share, basic and diluted
|
37,020,246
|
|
|
33,925,617
|
|
|
28,830,472
|
|
|
25,994,193
|
|
|
21,639,374
|
|
|||||
|
Other Operating Data:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|||||
|
Reported genomic test volume
|
31,710
|
|
|
26,026
|
|
|
23,237
|
|
|
19,421
|
|
|
14,061
|
|
|||||
|
(1)
|
Includes employee stock-based compensation as follows:
|
|
|
Year Ended December 31,
|
||||||||||||||||||
|
|
2018
|
|
2017
|
|
2016
|
|
2015
|
|
2014
|
||||||||||
|
Cost of revenue
|
$
|
130
|
|
|
$
|
133
|
|
|
$
|
126
|
|
|
$
|
100
|
|
|
$
|
51
|
|
|
Research and development
|
1,018
|
|
|
1,495
|
|
|
1,322
|
|
|
1,178
|
|
|
790
|
|
|||||
|
Selling and marketing
|
1,866
|
|
|
1,899
|
|
|
1,594
|
|
|
1,326
|
|
|
707
|
|
|||||
|
General and administrative
|
2,944
|
|
|
3,090
|
|
|
3,336
|
|
|
2,998
|
|
|
2,000
|
|
|||||
|
Total stock-based compensation
|
$
|
5,958
|
|
|
$
|
6,617
|
|
|
$
|
6,378
|
|
|
$
|
5,602
|
|
|
$
|
3,548
|
|
|
|
As of December 31,
|
||||||||||||||||||
|
|
2018
|
|
2017
|
|
2016
|
|
2015
|
|
2014
|
||||||||||
|
Cash and cash equivalents
|
$
|
77,995
|
|
|
$
|
33,891
|
|
|
$
|
59,219
|
|
|
$
|
39,084
|
|
|
$
|
35,014
|
|
|
Working capital
|
83,893
|
|
|
41,900
|
|
|
62,093
|
|
|
33,192
|
|
|
26,203
|
|
|||||
|
Total assets
|
120,638
|
|
|
78,669
|
|
|
101,034
|
|
|
75,247
|
|
|
64,839
|
|
|||||
|
Accumulated deficit
|
(234,086
|
)
|
|
(211,087
|
)
|
|
(180,084
|
)
|
|
(148,726
|
)
|
|
(115,022
|
)
|
|||||
|
Total stockholders' equity
|
79,755
|
|
|
37,225
|
|
|
59,581
|
|
|
51,252
|
|
|
41,374
|
|
|||||
|
•
|
Revenue
was $25.8 million and $92.0 million, respectively, an increase of 31% and 28%;
|
|
•
|
Gross Margin
was 66% and 64%, respectively, an increase of 6% and 3%;
|
|
•
|
Operating Expenses, Excluding Cost of Revenue,
were $20.1 million and $81.2 million, respectively, an increase of 12% and 15%;
|
|
•
|
Net Loss and Comprehensive Loss
was ($3.1) million and ($23.0) million, respectively, an improvement of 63% and 26%;
|
|
•
|
Basic and Diluted Net Loss Per Common Share
was ($0.08) and ($0.62), respectively, an improvement, of 67% and 32%;
|
|
•
|
Net Cash Used in Operating Activities
was $1.2 million and $13.5 million, respectively, an improvement of 79% and 44%;
|
|
•
|
Cash Burn
(1)
was $1.7 million and $15.4 million, respectively, an improvement of 73% and 39%; and
|
|
•
|
Cash and Cash Equivalents
was $78.0 million at December 31, 2018.
|
|
|
Three Months Ended December 31,
|
|
Year Ended December 31,
|
||||||||||||
|
|
2018
|
|
2017
|
|
2018
|
|
2017
|
||||||||
|
Net cash used in operating activities
|
$
|
(1,226
|
)
|
|
$
|
(5,816
|
)
|
|
$
|
(13,521
|
)
|
|
$
|
(23,915
|
)
|
|
Plus purchases of property and equipment
|
(454
|
)
|
|
(300
|
)
|
|
(1,874
|
)
|
|
(1,755
|
)
|
||||
|
Less proceeds from the sale of property and equipment
|
—
|
|
|
—
|
|
|
—
|
|
|
440
|
|
||||
|
Cash burn
|
$
|
(1,680
|
)
|
|
$
|
(6,116
|
)
|
|
$
|
(15,395
|
)
|
|
$
|
(25,230
|
)
|
|
Net cash used in investing activities
|
$
|
(454
|
)
|
|
$
|
(300
|
)
|
|
$
|
(1,874
|
)
|
|
$
|
(1,315
|
)
|
|
Net cash provided by (used in) financing activities
|
$
|
1,829
|
|
|
$
|
(1,188
|
)
|
|
$
|
59,499
|
|
|
$
|
(218
|
)
|
|
•
|
Grew total genomic test volume to 9,154 tests in the fourth quarter of 2018, representing 28% growth over 2017, which resulted in full-year 2018 growth of 22% over 2017, or 31,710 tests.
|
|
•
|
Transitioned all Afirma customers to the second-generation Afirma Genomic Sequencing Classifier (GSC) platform and launched the Afirma Xpression Atlas to provide a comprehensive solution that informs both thyroid cancer diagnosis and treatment decisions. Notably, 30% of Afirma GSC orders included Xpression Atlas in 2018, ahead of the company’s expectations.
|
|
•
|
Grew Percepta Bronchial Genomic Classifier volume to nearly 1,550 tests in its first full year of commercialization, with genomic volume accelerating 74% sequentially from the third quarter to the fourth quarter of 2018.
|
|
•
|
Esta
blished 20 leading Early Access Program (EAP) sites across the United States for Envisia in 2018, addressing physician demand for patient access to the classifier which improves idiopathic pulmonary fibrosis (IPF) diagnosis and builds a solid foundation for the company to commercially expand it in 2019.
|
|
•
|
Executed a long-term strategic collaboration with Johnson & Johnson, LLC and Johnson & Johnson’s Lung Cancer Initiative to advance diagnostics, including a nasal swab test, for early lung cancer detection. Veracyte estimates the combined monetary and non-monetary value of the collaboration to be more than $50 million. The company believes this collaboration expands its addressable lung cancer diagnostic market to a more than $30 billion global opportunity.
|
|
•
|
Entered into a research collaboration with Loxo Oncology, through which Loxo has access to data from Veracyte’s Afirma Xpression Atlas platform to help in its development of therapies for patients with genetically defined cancers, including thyroid cancer.
|
|
•
|
Received draft Medicare coverage for the Envisia Genomic Classifier through the MolDX program, with a final positive coverage decision expected in early 2019.
|
|
•
|
Achieved in-network status as a service provider with the last of the major commercial health plans, which Veracyte believes will facilitate coverage and reimbursement for its Percepta and Envisia classifiers.
|
|
•
|
Afirma
-
Published clinical validation data for the Afirma GSC in
JAMA Surgery
, demonstrating the next-generation test’s ability to help approximately 70% of patients with indeterminate thyroid nodules avoid unnecessary surgery. Presented 12 Afirma studies at three endocrinology conferences, including real-world data showing that the Afirma GSC is helping even more patients avoid unnecessary surgery than is suggested by the clinical validation study findings.
|
|
•
|
Percepta
- Presented early, interim results at the 2018 CHEST Annual Meeting from the ongoing registry clinical utility study showing the test changed clinical decision-making and reduced invasive procedures at every evaluation time point up to 12 months post-testing.
|
|
•
|
Envisia
- Published a study quantifying and qualifying the challenges in obtaining timely, accurate diagnosis of IPF and other interstitial lung diseases, thus underscoring the clinical need for the Envisia classifier. Presented data at a leading pulmonology conference demonstrating the test’s ability to improve the diagnosis of IPF without the need for surgery.
|
|
•
|
In July 2018, we issued and sold 5,750,000 shares of common stock in a registered public offering, including the underwriters' exercise in full of their option to purchase an additional 750,000 shares, at a price to the public of $10.25 per share. Net proceeds from the offering were approximately $55.0 million.
|
|
•
|
In January 2019, we used $12.5 million of cash and cash equivalents to reduce our principal debt balance from $25.0 million to $12.5 million.
|
|
•
|
the number of samples that we receive that meet the medical indication for each test performed;
|
|
•
|
the quantity and quality of the sample received;
|
|
•
|
receipt of the necessary documentation, such as physician order and patient consent, required to perform, bill and collect for our tests;
|
|
•
|
the patient's ability to pay or provide necessary insurance coverage for the tests performed;
|
|
•
|
the time it takes us to perform our tests and report the results;
|
|
•
|
the seasonality inherent in our business, such as the impact of work days per period, timing of industry conferences and the timing of when patient deductibles are exceeded, which also impacts the reimbursement we receive from insurers; and
|
|
•
|
our ability to obtain prior authorization or meet other requirements instituted by payers, benefit managers, or regulators necessary to be paid for our tests.
|
|
|
Year Ended December 31,
|
|||||||
|
|
2018
|
|
2017
|
|
2016
|
|||
|
Medicare
|
29
|
%
|
|
26
|
%
|
|
27
|
%
|
|
UnitedHealthcare
|
12
|
%
|
|
14
|
%
|
|
12
|
%
|
|
|
41
|
%
|
|
40
|
%
|
|
39
|
%
|
|
|
Year Ended December 31,
|
||||||||||||||||||||||||
|
|
2018
|
|
Change
|
|
%
|
|
2017
|
|
Change
|
|
%
|
|
2016
|
||||||||||||
|
Revenue
|
$
|
92,008
|
|
|
$
|
20,055
|
|
|
28
|
%
|
|
$
|
71,953
|
|
|
$
|
6,868
|
|
|
11
|
%
|
|
$
|
65,085
|
|
|
Operating expense:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||||||||
|
Cost of revenue
|
33,078
|
|
|
4,883
|
|
|
17
|
%
|
|
28,195
|
|
|
2,733
|
|
|
11
|
%
|
|
25,462
|
|
|||||
|
Research and development
|
14,820
|
|
|
939
|
|
|
7
|
%
|
|
13,881
|
|
|
(1,443
|
)
|
|
(9
|
)%
|
|
15,324
|
|
|||||
|
Selling and marketing
|
41,313
|
|
|
9,053
|
|
|
28
|
%
|
|
32,260
|
|
|
4,012
|
|
|
14
|
%
|
|
28,248
|
|
|||||
|
General and administrative
|
23,963
|
|
|
875
|
|
|
4
|
%
|
|
23,088
|
|
|
(699
|
)
|
|
(3
|
)%
|
|
23,787
|
|
|||||
|
Intangible asset amortization
|
1,067
|
|
|
—
|
|
|
—
|
%
|
|
1,067
|
|
|
—
|
|
|
—
|
%
|
|
1,067
|
|
|||||
|
Total operating expenses
|
114,241
|
|
|
15,750
|
|
|
16
|
%
|
|
98,491
|
|
|
4,603
|
|
|
5
|
%
|
|
93,888
|
|
|||||
|
Loss from operations
|
(22,233
|
)
|
|
4,305
|
|
|
16
|
%
|
|
(26,538
|
)
|
|
2,265
|
|
|
8
|
%
|
|
(28,803
|
)
|
|||||
|
Interest expense
|
(1,963
|
)
|
|
2,978
|
|
|
(60
|
)%
|
|
(4,941
|
)
|
|
(2,184
|
)
|
|
79
|
%
|
|
(2,757
|
)
|
|||||
|
Other income, net
|
1,197
|
|
|
721
|
|
|
151
|
%
|
|
476
|
|
|
274
|
|
|
136
|
%
|
|
202
|
|
|||||
|
Net loss and comprehensive loss
|
$
|
(22,999
|
)
|
|
$
|
8,004
|
|
|
26
|
%
|
|
$
|
(31,003
|
)
|
|
$
|
355
|
|
|
1
|
%
|
|
$
|
(31,358
|
)
|
|
Other Operating Data:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
||||||||||||
|
Genomic classifiers reported
|
31,710
|
|
|
5,684
|
|
|
22
|
%
|
|
26,026
|
|
|
2,789
|
|
|
12
|
%
|
|
23,237
|
|
|||||
|
|
Year Ended December 31,
|
|||||||||||||||||||
|
|
2018
|
|
%
|
|
2017
|
|
%
|
|
2016
|
|
%
|
|||||||||
|
Revenue recognized on the accrual basis
|
$
|
92,008
|
|
|
100
|
%
|
|
$
|
69,274
|
|
|
96
|
%
|
|
$
|
47,099
|
|
|
72
|
%
|
|
Revenue recognized on the cash basis
|
—
|
|
|
—
|
%
|
|
2,679
|
|
|
4
|
%
|
|
17,986
|
|
|
28
|
%
|
|||
|
Total
|
$
|
92,008
|
|
|
100
|
%
|
|
$
|
71,953
|
|
|
100
|
%
|
|
$
|
65,085
|
|
|
100
|
%
|
|
|
Year Ended December 31,
|
||||||||||||||||||||||||
|
|
2018
|
|
Change
|
|
%
|
|
2017
|
|
Change
|
|
%
|
|
2016
|
||||||||||||
|
Cost of revenue:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|||||
|
Laboratory expense
|
$
|
19,058
|
|
|
$
|
4,589
|
|
|
32
|
%
|
|
$
|
14,469
|
|
|
$
|
1,637
|
|
|
13
|
%
|
|
$
|
12,832
|
|
|
Sample collection expense
|
4,166
|
|
|
701
|
|
|
20
|
%
|
|
3,465
|
|
|
7
|
|
|
—
|
%
|
|
3,458
|
|
|||||
|
Compensation expense
|
4,521
|
|
|
714
|
|
|
19
|
%
|
|
3,807
|
|
|
612
|
|
|
19
|
%
|
|
3,195
|
|
|||||
|
License fees and royalties
|
805
|
|
|
(1,952
|
)
|
|
(71
|
)%
|
|
2,757
|
|
|
(13
|
)
|
|
—
|
%
|
|
2,770
|
|
|||||
|
Depreciation and amortization
|
800
|
|
|
134
|
|
|
20
|
%
|
|
666
|
|
|
127
|
|
|
24
|
%
|
|
539
|
|
|||||
|
Other expenses
|
1,731
|
|
|
488
|
|
|
39
|
%
|
|
1,243
|
|
|
308
|
|
|
33
|
%
|
|
935
|
|
|||||
|
Allocations
|
1,997
|
|
|
209
|
|
|
12
|
%
|
|
1,788
|
|
|
55
|
|
|
3
|
%
|
|
1,733
|
|
|||||
|
Total
|
$
|
33,078
|
|
|
$
|
4,883
|
|
|
17
|
%
|
|
$
|
28,195
|
|
|
$
|
2,733
|
|
|
11
|
%
|
|
$
|
25,462
|
|
|
|
Year Ended December 31,
|
||||||||||||||||||||||||
|
|
2018
|
|
Change
|
|
%
|
|
2017
|
|
Change
|
|
%
|
|
2016
|
||||||||||||
|
Research and development expense
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|||||
|
Compensation expense
|
$
|
8,235
|
|
|
$
|
268
|
|
|
3
|
%
|
|
$
|
7,967
|
|
|
$
|
114
|
|
|
1
|
%
|
|
$
|
7,853
|
|
|
Direct research and development expense
|
3,716
|
|
|
1,059
|
|
|
40
|
%
|
|
2,657
|
|
|
(1,545
|
)
|
|
(37
|
)%
|
|
4,202
|
|
|||||
|
Professional fees
|
790
|
|
|
(150
|
)
|
|
(16
|
)%
|
|
940
|
|
|
107
|
|
|
13
|
%
|
|
833
|
|
|||||
|
Depreciation and amortization
|
400
|
|
|
(47
|
)
|
|
(11
|
)%
|
|
447
|
|
|
43
|
|
|
11
|
%
|
|
404
|
|
|||||
|
Other expenses
|
405
|
|
|
(182
|
)
|
|
(31
|
)%
|
|
587
|
|
|
(53
|
)
|
|
(8
|
)%
|
|
640
|
|
|||||
|
Allocations
|
1,274
|
|
|
(9
|
)
|
|
(1
|
)%
|
|
1,283
|
|
|
(109
|
)
|
|
(8
|
)%
|
|
1,392
|
|
|||||
|
Total
|
$
|
14,820
|
|
|
$
|
939
|
|
|
7
|
%
|
|
$
|
13,881
|
|
|
$
|
(1,443
|
)
|
|
(9
|
)%
|
|
$
|
15,324
|
|
|
|
Year Ended December 31,
|
||||||||||||||||||||||||
|
|
2018
|
|
Change
|
|
%
|
|
2017
|
|
Change
|
|
%
|
|
2016
|
||||||||||||
|
Selling and marketing expense:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|||||
|
Compensation expense
|
$
|
25,893
|
|
|
$
|
7,747
|
|
|
43
|
%
|
|
$
|
18,146
|
|
|
$
|
3,749
|
|
|
26
|
%
|
|
$
|
14,397
|
|
|
Direct marketing expense
|
4,867
|
|
|
(778
|
)
|
|
(14
|
)%
|
|
5,645
|
|
|
2,688
|
|
|
91
|
%
|
|
2,957
|
|
|||||
|
Genzyme co-promotion expense, net
|
—
|
|
|
(3
|
)
|
|
(100
|
)%
|
|
3
|
|
|
(5,100
|
)
|
|
(100
|
)%
|
|
5,103
|
|
|||||
|
Professional fees
|
1,507
|
|
|
(599
|
)
|
|
(28
|
)%
|
|
2,106
|
|
|
1,523
|
|
|
261
|
%
|
|
583
|
|
|||||
|
Other expenses
|
6,549
|
|
|
2,023
|
|
|
45
|
%
|
|
4,526
|
|
|
1,069
|
|
|
31
|
%
|
|
3,457
|
|
|||||
|
Allocations
|
2,497
|
|
|
663
|
|
|
36
|
%
|
|
1,834
|
|
|
83
|
|
|
5
|
%
|
|
1,751
|
|
|||||
|
Total
|
$
|
41,313
|
|
|
$
|
9,053
|
|
|
28
|
%
|
|
$
|
32,260
|
|
|
$
|
4,012
|
|
|
14
|
%
|
|
$
|
28,248
|
|
|
|
Year Ended December 31,
|
||||||||||||||||||||||||
|
|
2018
|
|
Change
|
|
%
|
|
2017
|
|
Change
|
|
%
|
|
2016
|
||||||||||||
|
General and administrative expense:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|||||
|
Compensation expense
|
$
|
16,058
|
|
|
$
|
1,230
|
|
|
8
|
%
|
|
$
|
14,828
|
|
|
$
|
(870
|
)
|
|
(6
|
)%
|
|
$
|
15,698
|
|
|
Professional fees
|
6,202
|
|
|
268
|
|
|
5
|
%
|
|
5,934
|
|
|
93
|
|
|
2
|
%
|
|
5,841
|
|
|||||
|
Occupancy costs
|
2,375
|
|
|
156
|
|
|
7
|
%
|
|
2,219
|
|
|
(251
|
)
|
|
(10
|
)%
|
|
2,470
|
|
|||||
|
Depreciation and amortization
|
1,653
|
|
|
(9
|
)
|
|
(1
|
)%
|
|
1,662
|
|
|
161
|
|
|
11
|
%
|
|
1,501
|
|
|||||
|
Other expenses
|
3,443
|
|
|
93
|
|
|
3
|
%
|
|
3,350
|
|
|
216
|
|
|
7
|
%
|
|
3,134
|
|
|||||
|
Allocations
|
(5,768
|
)
|
|
(863
|
)
|
|
18
|
%
|
|
(4,905
|
)
|
|
(48
|
)
|
|
1
|
%
|
|
(4,857
|
)
|
|||||
|
Total
|
$
|
23,963
|
|
|
$
|
875
|
|
|
4
|
%
|
|
$
|
23,088
|
|
|
$
|
(699
|
)
|
|
(3
|
)%
|
|
$
|
23,787
|
|
|
|
Years Ended December 31,
|
||||||||||
|
|
2018
|
|
2017
|
|
2016
|
||||||
|
Cash used in operating activities
|
$
|
(13,521
|
)
|
|
$
|
(23,915
|
)
|
|
$
|
(27,982
|
)
|
|
Cash used in investing activities
|
(1,874
|
)
|
|
(1,315
|
)
|
|
(4,210
|
)
|
|||
|
Cash provided by (used in) financing activities
|
59,499
|
|
|
(218
|
)
|
|
52,329
|
|
|||
|
|
Payments Due by Period
|
||||||||||||||||||
|
|
Fiscal Year 2019
|
|
Fiscal Year 2020 to 2021
|
|
Fiscal Year 2022 to 2023
|
|
Fiscal Year 2024 and Beyond
|
|
Total
|
||||||||||
|
Operating lease obligations (1)
|
$
|
2,227
|
|
|
$
|
4,733
|
|
|
$
|
5,015
|
|
|
$
|
6,840
|
|
|
$
|
18,815
|
|
|
Long-term debt obligations (2)
|
1,389
|
|
|
16,666
|
|
|
8,132
|
|
|
—
|
|
|
26,187
|
|
|||||
|
Supplies purchase commitments
|
4,305
|
|
|
2,186
|
|
|
820
|
|
|
—
|
|
|
7,311
|
|
|||||
|
Capital lease obligation
|
317
|
|
|
—
|
|
|
—
|
|
|
—
|
|
|
317
|
|
|||||
|
Total
|
$
|
8,238
|
|
|
$
|
23,585
|
|
|
$
|
13,967
|
|
|
$
|
6,840
|
|
|
$
|
52,630
|
|
|
(1) Represents minimum operating lease payments under operating leases for facilities.
(2) Debt obligations include principal, estimate of variable rate interest and end-of-term debt obligation. In January 2019, we paid off $12.5 million of principal from our Loan and Security Agreement.
|
|||||||||||||||||||
|
|
|
|
|
Page No.
|
|
|
As of December 31,
|
||||||
|
|
2018
|
|
2017
|
||||
|
Assets
|
|
|
|
||||
|
Current assets:
|
|
|
|
||||
|
Cash and cash equivalents
|
$
|
77,995
|
|
|
$
|
33,891
|
|
|
Accounts receivable
|
13,168
|
|
|
12,716
|
|
||
|
Supplies
|
3,402
|
|
|
5,324
|
|
||
|
Prepaid expenses and other current assets
|
2,387
|
|
|
1,997
|
|
||
|
Total current assets
|
96,952
|
|
|
53,928
|
|
||
|
Property and equipment, net
|
8,940
|
|
|
9,688
|
|
||
|
Finite-lived intangible assets, net
|
12,000
|
|
|
13,067
|
|
||
|
Goodwill
|
1,057
|
|
|
1,057
|
|
||
|
Restricted cash
|
603
|
|
|
603
|
|
||
|
Other assets
|
1,086
|
|
|
326
|
|
||
|
Total assets
|
$
|
120,638
|
|
|
$
|
78,669
|
|
|
Liabilities and Stockholders' Equity
|
|
|
|
||||
|
Current liabilities:
|
|
|
|
||||
|
Accounts payable
|
$
|
2,516
|
|
|
$
|
3,853
|
|
|
Accrued liabilities
|
9,186
|
|
|
8,175
|
|
||
|
Current portion of long-term debt
|
1,357
|
|
|
—
|
|
||
|
Total current liabilities
|
13,059
|
|
|
12,028
|
|
||
|
Long-term debt
|
23,925
|
|
|
24,938
|
|
||
|
Capital lease liability, net of current portion
|
—
|
|
|
308
|
|
||
|
Deferred rent, net of current portion
|
3,899
|
|
|
4,170
|
|
||
|
Total liabilities
|
40,883
|
|
|
41,444
|
|
||
|
Commitments and contingencies
|
|
|
|
|
|
||
|
Stockholders' equity:
|
|
|
|
||||
|
Preferred stock, $0.001 par value; 5,000,000 shares authorized, no shares issued and outstanding as of December 31, 2018 and 2017
|
—
|
|
|
—
|
|
||
|
Common stock, $0.001 par value; 125,000,000 shares authorized, 40,863,202 and 34,210,388 shares issued and outstanding as of December 31, 2018 and 2017, respectively
|
41
|
|
|
34
|
|
||
|
Additional paid-in capital
|
313,800
|
|
|
248,278
|
|
||
|
Accumulated deficit
|
(234,086
|
)
|
|
(211,087
|
)
|
||
|
Total stockholders' equity
|
79,755
|
|
|
37,225
|
|
||
|
Total liabilities and stockholders' equity
|
$
|
120,638
|
|
|
$
|
78,669
|
|
|
|
Year Ended December 31,
|
||||||||||
|
|
2018
|
|
2017
|
|
2016
|
||||||
|
Revenue
|
$
|
92,008
|
|
|
$
|
71,953
|
|
|
$
|
65,085
|
|
|
Operating Expenses:
|
|
|
|
|
|
||||||
|
Cost of revenue
|
33,078
|
|
|
28,195
|
|
|
25,462
|
|
|||
|
Research and development
|
14,820
|
|
|
13,881
|
|
|
15,324
|
|
|||
|
Selling and marketing
|
41,313
|
|
|
32,260
|
|
|
28,248
|
|
|||
|
General and administrative
|
23,963
|
|
|
23,088
|
|
|
23,787
|
|
|||
|
Intangible asset amortization
|
1,067
|
|
|
1,067
|
|
|
1,067
|
|
|||
|
Total operating expenses
|
114,241
|
|
|
98,491
|
|
|
93,888
|
|
|||
|
Loss from operations
|
(22,233
|
)
|
|
(26,538
|
)
|
|
(28,803
|
)
|
|||
|
Interest expense
|
(1,963
|
)
|
|
(4,941
|
)
|
|
(2,757
|
)
|
|||
|
Other income, net
|
1,197
|
|
|
476
|
|
|
202
|
|
|||
|
Net loss and comprehensive loss
|
$
|
(22,999
|
)
|
|
$
|
(31,003
|
)
|
|
$
|
(31,358
|
)
|
|
Net loss per common share, basic and diluted
|
$
|
(0.62
|
)
|
|
$
|
(0.91
|
)
|
|
$
|
(1.09
|
)
|
|
Shares used to compute net loss per common share, basic and diluted
|
37,020,246
|
|
|
33,925,617
|
|
|
28,830,472
|
|
|||
|
|
|
|
|
|
Additional
Paid-in
Capital
|
|
Accumulated
Deficit
|
|
Total
Stockholders'
Equity
|
|||||||||
|
|
Common Stock
|
|
|
|
||||||||||||||
|
|
Shares
|
|
Amount
|
|
|
|
||||||||||||
|
Balance at December 31, 2015
|
27,685,291
|
|
|
$
|
28
|
|
|
$
|
199,950
|
|
|
$
|
(148,726
|
)
|
|
$
|
51,252
|
|
|
Issuance of common stock on exercise of stock options
|
212,740
|
|
|
—
|
|
|
538
|
|
|
—
|
|
|
538
|
|
||||
|
Issuance of common stock under employee stock purchase plan (ESPP)
|
140,947
|
|
|
—
|
|
|
678
|
|
|
—
|
|
|
678
|
|
||||
|
Sale of common stock in a public offering, net of issuance costs of $2,247
|
5,723,300
|
|
|
6
|
|
|
32,087
|
|
|
—
|
|
|
32,093
|
|
||||
|
Stock-based compensation expense (employee)
|
—
|
|
|
—
|
|
|
6,046
|
|
|
—
|
|
|
6,046
|
|
||||
|
Stock-based compensation expense (non-employee)
|
—
|
|
|
—
|
|
|
15
|
|
|
—
|
|
|
15
|
|
||||
|
Stock-based compensation expense (ESPP)
|
—
|
|
|
—
|
|
|
317
|
|
|
—
|
|
|
317
|
|
||||
|
Net loss and comprehensive loss
|
—
|
|
|
—
|
|
|
—
|
|
|
(31,358
|
)
|
|
(31,358
|
)
|
||||
|
Balance at December 31, 2016
|
33,762,278
|
|
|
$
|
34
|
|
|
$
|
239,631
|
|
|
$
|
(180,084
|
)
|
|
$
|
59,581
|
|
|
Issuance of common stock on exercise of stock options and vesting of restricted stock units
|
295,059
|
|
|
—
|
|
|
1,374
|
|
|
—
|
|
|
1,374
|
|
||||
|
Issuance of common stock under employee stock purchase plan (ESPP)
|
153,051
|
|
|
—
|
|
|
656
|
|
|
—
|
|
|
656
|
|
||||
|
Stock-based compensation expense (employee)
|
—
|
|
|
—
|
|
|
6,352
|
|
|
—
|
|
|
6,352
|
|
||||
|
Stock-based compensation expense (non-employee)
|
—
|
|
|
—
|
|
|
19
|
|
|
—
|
|
|
19
|
|
||||
|
Stock-based compensation expense (ESPP)
|
—
|
|
|
—
|
|
|
246
|
|
|
—
|
|
|
246
|
|
||||
|
Net loss and comprehensive loss
|
—
|
|
|
—
|
|
|
—
|
|
|
(31,003
|
)
|
|
(31,003
|
)
|
||||
|
Balance at December 31, 2017
|
34,210,388
|
|
|
$
|
34
|
|
|
$
|
248,278
|
|
|
$
|
(211,087
|
)
|
|
$
|
37,225
|
|
|
Issuance of common stock on exercise of stock options and vesting of restricted stock units
|
756,231
|
|
|
1
|
|
|
3,432
|
|
|
—
|
|
|
3,433
|
|
||||
|
Issuance of common stock under employee stock purchase plan (ESPP)
|
146,583
|
|
|
—
|
|
|
790
|
|
|
—
|
|
|
790
|
|
||||
|
Sale of common stock in a public offering, net of issuance costs of $3,890
|
5,750,000
|
|
|
6
|
|
|
55,032
|
|
|
—
|
|
|
55,038
|
|
||||
|
Stock-based compensation expense (employee)
|
—
|
|
|
—
|
|
|
5,602
|
|
|
—
|
|
|
5,602
|
|
||||
|
Stock-based compensation expense (non-employee)
|
—
|
|
|
—
|
|
|
24
|
|
|
—
|
|
|
24
|
|
||||
|
Stock-based compensation expense (ESPP)
|
—
|
|
|
—
|
|
|
332
|
|
|
—
|
|
|
332
|
|
||||
|
Legal settlement from short-swing profits, net of tax
|
—
|
|
|
—
|
|
|
310
|
|
|
—
|
|
|
310
|
|
||||
|
Net loss and comprehensive loss
|
—
|
|
|
—
|
|
|
—
|
|
|
(22,999
|
)
|
|
(22,999
|
)
|
||||
|
Balance at December 31, 2018
|
40,863,202
|
|
|
$
|
41
|
|
|
$
|
313,800
|
|
|
$
|
(234,086
|
)
|
|
$
|
79,755
|
|
|
|
Year Ended December 31,
|
||||||||||
|
|
2018
|
|
2017
|
|
2016
|
||||||
|
Operating activities
|
|
|
|
|
|
|
|
|
|||
|
Net loss
|
$
|
(22,999
|
)
|
|
$
|
(31,003
|
)
|
|
$
|
(31,358
|
)
|
|
Adjustments to reconcile net loss to net cash used in operating activities:
|
|
|
|
|
|
|
|
|
|||
|
Depreciation and amortization
|
3,920
|
|
|
3,841
|
|
|
3,511
|
|
|||
|
Bad debt expense
|
—
|
|
|
—
|
|
|
68
|
|
|||
|
Loss on disposal of property and equipment
|
—
|
|
|
12
|
|
|
12
|
|
|||
|
Genzyme co-promotion fee amortization
|
—
|
|
|
—
|
|
|
(948
|
)
|
|||
|
Stock-based compensation
|
5,958
|
|
|
6,617
|
|
|
6,378
|
|
|||
|
Other income
|
(93
|
)
|
|
—
|
|
|
—
|
|
|||
|
Conversion of accrued interest to long-term debt
|
—
|
|
|
—
|
|
|
385
|
|
|||
|
Amortization and write-off of debt discount and issuance costs
|
32
|
|
|
472
|
|
|
173
|
|
|||
|
Interest on end-of-term debt obligation and prepayment penalty
|
312
|
|
|
1,589
|
|
|
206
|
|
|||
|
Changes in operating assets and liabilities:
|
|
|
|
|
|
|
|
|
|||
|
Accounts receivable
|
(452
|
)
|
|
(3,960
|
)
|
|
(5,321
|
)
|
|||
|
Supplies
|
1,922
|
|
|
(1,849
|
)
|
|
292
|
|
|||
|
Prepaid expenses and other current assets
|
(517
|
)
|
|
(7
|
)
|
|
(415
|
)
|
|||
|
Other assets
|
(760
|
)
|
|
(192
|
)
|
|
25
|
|
|||
|
Accounts payable
|
(1,568
|
)
|
|
1,728
|
|
|
(1,441
|
)
|
|||
|
Accrued liabilities and deferred rent
|
724
|
|
|
(1,163
|
)
|
|
451
|
|
|||
|
Net cash used in operating activities
|
(13,521
|
)
|
|
(23,915
|
)
|
|
(27,982
|
)
|
|||
|
Investing activities
|
|
|
|
|
|
|
|
|
|||
|
Purchases of property and equipment
|
(1,874
|
)
|
|
(1,755
|
)
|
|
(4,210
|
)
|
|||
|
Proceeds from the sale of property and equipment
|
—
|
|
|
440
|
|
|
—
|
|
|||
|
Net cash used in investing activities
|
(1,874
|
)
|
|
(1,315
|
)
|
|
(4,210
|
)
|
|||
|
Financing activities
|
|
|
|
|
|
|
|
|
|||
|
Proceeds from the issuance of long-term debt, net of debt issuance costs
|
—
|
|
|
24,880
|
|
|
24,452
|
|
|||
|
Proceeds from issuance of common stock in a public offering, net of issuance costs
|
55,038
|
|
|
200
|
|
|
31,949
|
|
|||
|
Payment of long-term debt
|
—
|
|
|
(25,385
|
)
|
|
(5,000
|
)
|
|||
|
Payment of end-of-term debt obligation and prepayment penalty
|
—
|
|
|
(1,536
|
)
|
|
(288
|
)
|
|||
|
Proceeds from legal settlement regarding short-swing profits
|
403
|
|
|
—
|
|
|
—
|
|
|||
|
Payment of capital lease liability
|
(292
|
)
|
|
(274
|
)
|
|
—
|
|
|||
|
Proceeds from the exercise of common stock options and employee stock purchases
|
4,350
|
|
|
1,897
|
|
|
1,216
|
|
|||
|
Net cash provided by (used in) financing activities
|
59,499
|
|
|
(218
|
)
|
|
52,329
|
|
|||
|
Net increase (decrease) in cash, cash equivalents and restricted cash
|
44,104
|
|
|
(25,448
|
)
|
|
20,137
|
|
|||
|
Cash, cash equivalents and restricted cash at beginning of year
|
34,494
|
|
|
59,942
|
|
|
39,805
|
|
|||
|
Cash, cash equivalents and restricted cash at end of year
|
$
|
78,598
|
|
|
$
|
34,494
|
|
|
$
|
59,942
|
|
|
|
|
|
|
|
|
||||||
|
Supplementary cash flow information of non-cash investing and financing activities:
|
|
|
|
|
|
|
|
|
|||
|
Net receivable for reimbursement of public offering issuance costs
|
$
|
—
|
|
|
$
|
—
|
|
|
$
|
144
|
|
|
Purchases of property and equipment included in accounts payable and accrued liabilities
|
273
|
|
|
42
|
|
|
363
|
|
|||
|
Supplementary cash flow information:
|
|
|
|
|
|
||||||
|
Cash paid for interest on debt
|
1,547
|
|
|
2,718
|
|
|
2,149
|
|
|||
|
Cash paid for tax
|
79
|
|
|
21
|
|
|
7
|
|
|||
|
|
December 31,
|
||||||||||
|
|
2018
|
|
2017
|
|
2016
|
||||||
|
Cash and cash equivalents
|
$
|
77,995
|
|
|
$
|
33,891
|
|
|
$
|
59,219
|
|
|
Restricted cash - current
|
—
|
|
|
—
|
|
|
120
|
|
|||
|
Restricted cash - long-term
|
603
|
|
|
603
|
|
|
603
|
|
|||
|
Total cash, cash equivalents and restricted cash
|
$
|
78,598
|
|
|
$
|
34,494
|
|
|
$
|
59,942
|
|
|
|
Year Ended December 31,
|
|||||||
|
|
2018
|
|
2017
|
|
2016
|
|||
|
Medicare
|
29
|
%
|
|
26
|
%
|
|
27
|
%
|
|
UnitedHealthcare
|
12
|
%
|
|
14
|
%
|
|
12
|
%
|
|
|
41
|
%
|
|
40
|
%
|
|
39
|
%
|
|
|
As of December 31,
|
||||
|
|
2018
|
|
2017
|
||
|
Medicare
|
20
|
%
|
|
22
|
%
|
|
UnitedHealthcare
|
11
|
%
|
|
9
|
%
|
|
|
Year Ended December 31,
|
|||||||||||||||||||
|
|
2018
|
|
2017
|
|
2016
|
|||||||||||||||
|
Revenue recognized on the accrual basis
|
$
|
92,008
|
|
|
100
|
%
|
|
$
|
69,274
|
|
|
96
|
%
|
|
$
|
47,099
|
|
|
72
|
%
|
|
Revenue recognized on the cash basis
|
—
|
|
|
—
|
%
|
|
2,679
|
|
|
4
|
%
|
|
17,986
|
|
|
28
|
%
|
|||
|
Total
|
$
|
92,008
|
|
|
100
|
%
|
|
$
|
71,953
|
|
|
100
|
%
|
|
$
|
65,085
|
|
|
100
|
%
|
|
|
Year Ended December 31,
|
|||||||
|
|
2018
|
|
2017
|
|
2016
|
|||
|
Shares of common stock subject to outstanding options
|
5,998,163
|
|
|
6,163,734
|
|
|
5,093,454
|
|
|
Employee stock purchase plan
|
34,869
|
|
|
34,559
|
|
|
36,651
|
|
|
Restricted stock units
|
384,691
|
|
|
63,425
|
|
|
25,000
|
|
|
Total common stock equivalents
|
6,417,723
|
|
|
6,261,718
|
|
|
5,155,105
|
|
|
|
December 31,
|
||||||
|
|
2018
|
|
2017
|
||||
|
Leasehold improvements
|
$
|
5,825
|
|
|
$
|
5,790
|
|
|
Laboratory equipment
|
8,895
|
|
|
8,026
|
|
||
|
Computer equipment
|
1,615
|
|
|
1,293
|
|
||
|
Software, including software developed for internal use
|
2,450
|
|
|
2,308
|
|
||
|
Furniture and fixtures
|
1,435
|
|
|
1,435
|
|
||
|
Construction-in-process
|
726
|
|
|
141
|
|
||
|
Total property and equipment, at cost
|
20,946
|
|
|
18,993
|
|
||
|
Accumulated depreciation and amortization
|
(12,006
|
)
|
|
(9,305
|
)
|
||
|
Total property and equipment, net
|
$
|
8,940
|
|
|
$
|
9,688
|
|
|
|
December 31,
|
||||||
|
|
2018
|
|
2017
|
||||
|
Accrued compensation expense
|
$
|
6,412
|
|
|
$
|
5,293
|
|
|
Accrued other
|
2,774
|
|
|
2,882
|
|
||
|
Total accrued liabilities
|
$
|
9,186
|
|
|
$
|
8,175
|
|
|
•
|
Level I: Inputs which include quoted prices in active markets for identical assets and liabilities;
|
|
•
|
Level II: Inputs other than Level I that are observable, either directly or indirectly, such as quoted prices for similar assets or liabilities; quoted prices in markets that are not active; or other inputs that are observable or can be corroborated by observable market data for substantially the full term of the assets or liabilities; and
|
|
•
|
Level III: Unobservable inputs that are supported by little or no market activity and that are significant to the fair value of the assets or liabilities.
|
|
Year Ending December 31,
|
Amounts
|
||
|
2019
|
$
|
2,227
|
|
|
2020
|
2,332
|
|
|
|
2021
|
2,401
|
|
|
|
2022
|
2,472
|
|
|
|
2023
|
2,543
|
|
|
|
Thereafter
|
6,840
|
|
|
|
Total minimum lease payments
|
$
|
18,815
|
|
|
|
December 31,
|
||||||
|
|
2018
|
|
2017
|
||||
|
Debt principal
|
$
|
25,000
|
|
|
$
|
25,000
|
|
|
End-of-term debt obligation
|
365
|
|
|
53
|
|
||
|
Unamortized debt issuance costs
|
(83
|
)
|
|
(115
|
)
|
||
|
Net debt obligation
|
$
|
25,282
|
|
|
$
|
24,938
|
|
|
Year Ending December 31,
|
|
||
|
2019
|
$
|
1,389
|
|
|
2020
|
8,333
|
|
|
|
2021
|
8,333
|
|
|
|
2022
|
8,132
|
|
|
|
Total
|
$
|
26,187
|
|
|
|
Year Ended December 31,
|
||||||||||
|
|
2018
|
|
2017
|
|
2016
|
||||||
|
Nominal debt interest
|
$
|
1,568
|
|
|
$
|
2,838
|
|
|
$
|
2,378
|
|
|
Amortization and write-off of debt discount and issuance costs
|
57
|
|
|
472
|
|
|
173
|
|
|||
|
End-of-term debt obligation interest
|
312
|
|
|
53
|
|
|
156
|
|
|||
|
Debt prepayment penalty
|
—
|
|
|
1,536
|
|
|
50
|
|
|||
|
Interest on capital lease
|
26
|
|
|
42
|
|
|
—
|
|
|||
|
Total
|
$
|
1,963
|
|
|
$
|
4,941
|
|
|
$
|
2,757
|
|
|
|
December 31,
|
||||
|
|
2018
|
|
2017
|
||
|
Stock options and restricted stock units issued and outstanding
|
6,235,258
|
|
|
6,061,081
|
|
|
Stock options and restricted stock units available for grant under stock option plans
|
1,571,658
|
|
|
1,133,907
|
|
|
Common stock available for the Employee Stock Purchase Plan
|
309,419
|
|
|
456,002
|
|
|
Total
|
8,116,335
|
|
|
7,650,990
|
|
|
|
Shares
Available
for Grant
|
|
Stock Options
Outstanding and Unvested Stock Units |
|
Weighted
Average Exercise Price of Stock Options |
|
Weighted Average
Remaining Contractual Life of Stock Options (Years) |
|
Aggregate
Intrinsic Value of Stock Options |
||||||
|
Balance—December 31, 2017
|
1,133,907
|
|
|
6,061,081
|
|
|
$
|
7.76
|
|
|
6.71
|
|
$
|
4,531
|
|
|
Additional shares authorized
|
1,368,159
|
|
|
—
|
|
|
|
|
|
|
|
|
|
||
|
Granted - stock options
|
(1,126,750
|
)
|
|
1,126,750
|
|
|
7.08
|
|
|
|
|
|
|
||
|
Granted - restricted stock units
|
(590,420
|
)
|
|
590,420
|
|
|
|
|
|
|
|
||||
|
Canceled
|
779,982
|
|
|
(779,982
|
)
|
|
8.00
|
|
|
|
|
|
|
||
|
Exercised
|
—
|
|
|
(740,010
|
)
|
|
4.71
|
|
|
|
|
|
|
||
|
Restricted stock units vested
|
—
|
|
|
(23,001
|
)
|
|
|
|
|
|
|
||||
|
Tax portion of restricted stock units vested
|
6,780
|
|
|
—
|
|
|
|
|
|
|
|
||||
|
Balance—December 31, 2018
|
1,571,658
|
|
|
6,235,258
|
|
|
$
|
7.95
|
|
|
6.95
|
|
$
|
27,340
|
|
|
|
|
|
|
|
|
|
|
|
|
||||||
|
Options vested and exercisable—December 31, 2018
|
|
|
|
3,341,576
|
|
|
$
|
8.22
|
|
|
5.87
|
|
$
|
15,829
|
|
|
Options vested and expected to vest—December 31, 2018
|
|
|
|
5,406,347
|
|
|
$
|
7.96
|
|
|
6.87
|
|
$
|
26,238
|
|
|
|
Year Ended December 31,
|
||||||||||
|
|
2018
|
|
2017
|
|
2016
|
||||||
|
Cost of revenue
|
$
|
130
|
|
|
$
|
133
|
|
|
$
|
126
|
|
|
Research and development
|
1,018
|
|
|
1,495
|
|
|
1,322
|
|
|||
|
Selling and marketing
|
1,866
|
|
|
1,899
|
|
|
1,594
|
|
|||
|
General and administrative
|
2,944
|
|
|
3,090
|
|
|
3,336
|
|
|||
|
Total stock-based compensation expense
|
$
|
5,958
|
|
|
$
|
6,617
|
|
|
$
|
6,378
|
|
|
|
Year Ended December 31,
|
||||
|
|
2018
|
|
2017
|
|
2016
|
|
Weighted-average volatility
|
50.40 - 52.70%
|
|
50.40 - 52.40%
|
|
52.49 - 56.36%
|
|
Weighted-average expected term (years)
|
5.50 - 6.08
|
|
5.50 - 6.08
|
|
5.50 - 6.27
|
|
Risk-free interest rate
|
2.40 - 3.10%
|
|
1.80 - 2.33%
|
|
1.16 - 2.09%
|
|
Expected dividend yield
|
—
|
|
—
|
|
—
|
|
|
Year Ended December 31,
|
||||
|
|
2018
|
|
2017
|
|
2016
|
|
Weighted-average volatility
|
43.60 - 50.50%
|
|
50.40 - 51.10%
|
|
52.77 - 65.85%
|
|
Weighted-average expected term (years)
|
0.25 - 6.75
|
|
6.80 - 7.75
|
|
7.80 - 8.56
|
|
Risk-free interest rate
|
1.84 - 2.87%
|
|
2.16 - 2.37%
|
|
1.39 - 2.30%
|
|
Expected dividend yield
|
—
|
|
—
|
|
—
|
|
|
Year Ended December 31,
|
||||
|
|
2018
|
|
2017
|
|
2016
|
|
Weighted-average volatility
|
42.88 - 47.74%
|
|
37.00 - 43.86%
|
|
46.38 - 75.72%
|
|
Weighted-average expected term (years)
|
0.50 - 1.00
|
|
0.50 - 1.00
|
|
0.50 - 1.00
|
|
Risk-free interest rate
|
1.64 - 2.45%
|
|
0.65 - 1.22%
|
|
0.40 - 0.50%
|
|
Expected dividend yield
|
—
|
|
—
|
|
—
|
|
|
Year Ended December, 31,
|
||||||||||
|
|
2018
|
|
2017
|
|
2016
|
||||||
|
U.S. federal taxes at statutory rate
|
$
|
(4,825
|
)
|
|
$
|
(10,541
|
)
|
|
$
|
(10,662
|
)
|
|
State tax (net of federal benefit)
|
—
|
|
|
15
|
|
|
20
|
|
|||
|
Non deductible officers's compensation
|
409
|
|
|
—
|
|
|
—
|
|
|||
|
Permanent differences
|
285
|
|
|
198
|
|
|
153
|
|
|||
|
Incentive stock options
|
(256
|
)
|
|
994
|
|
|
1,095
|
|
|||
|
Tax credits
|
(777
|
)
|
|
(588
|
)
|
|
(677
|
)
|
|||
|
Change in valuation allowance
|
5,164
|
|
|
(14,552
|
)
|
|
10,071
|
|
|||
|
Rate differential impact -
Tax Cuts and Jobs Act
|
—
|
|
|
24,474
|
|
|
—
|
|
|||
|
Total
|
$
|
—
|
|
|
$
|
—
|
|
|
$
|
—
|
|
|
|
Year Ended December 31,
|
||||||||||
|
|
2018
|
|
2017
|
|
2016
|
||||||
|
Deferred tax assets:
|
|
|
|
|
|
|
|
|
|||
|
Net operating loss carryforwards
|
$
|
50,410
|
|
|
$
|
47,177
|
|
|
$
|
61,674
|
|
|
Research and development credits
|
4,584
|
|
|
4,034
|
|
|
3,174
|
|
|||
|
Stock-based compensation
|
1,032
|
|
|
2,068
|
|
|
2,847
|
|
|||
|
Accruals, deferred rent and other
|
2,918
|
|
|
2,375
|
|
|
4,511
|
|
|||
|
Gross deferred tax assets
|
58,944
|
|
|
55,654
|
|
|
72,206
|
|
|||
|
Valuation allowance
|
(55,366
|
)
|
|
(51,657
|
)
|
|
(65,975
|
)
|
|||
|
Net deferred tax assets
|
3,578
|
|
|
3,997
|
|
|
6,231
|
|
|||
|
Deferred tax liabilities:
|
|
|
|
|
|
|
|
|
|||
|
Property and equipment
|
(695
|
)
|
|
(983
|
)
|
|
(1,180
|
)
|
|||
|
In-process research and development
|
(2,883
|
)
|
|
(3,014
|
)
|
|
(5,051
|
)
|
|||
|
Gross deferred tax liabilities
|
(3,578
|
)
|
|
(3,997
|
)
|
|
(6,231
|
)
|
|||
|
Net deferred tax liabilities
|
(3,578
|
)
|
|
(3,997
|
)
|
|
(6,231
|
)
|
|||
|
Net deferred taxes
|
$
|
—
|
|
|
$
|
—
|
|
|
$
|
—
|
|
|
|
Year Ended December 31,
|
||||||||||
|
|
2018
|
|
2017
|
|
2016
|
||||||
|
Unrecognized tax benefits, beginning of period
|
$
|
2,523
|
|
|
$
|
2,222
|
|
|
$
|
1,871
|
|
|
Gross increases—tax position in prior period
|
—
|
|
|
—
|
|
|
—
|
|
|||
|
Gross decreases—tax position in prior period
|
(97
|
)
|
|
—
|
|
|
—
|
|
|||
|
Gross increases—current period tax position
|
373
|
|
|
301
|
|
|
351
|
|
|||
|
Lapse of statute of limitations
|
—
|
|
|
—
|
|
|
—
|
|
|||
|
Unrecognized tax benefits, end of period
|
$
|
2,799
|
|
|
$
|
2,523
|
|
|
$
|
2,222
|
|
|
Quarter Ended
|
March 31
|
|
June 30
|
|
September 30
|
|
December 31
|
||||||||
|
2018:
|
|
|
|
|
|
|
|
|
|
|
|
||||
|
Revenue
|
$
|
20,041
|
|
|
$
|
22,751
|
|
|
$
|
23,466
|
|
|
$
|
25,750
|
|
|
Net loss
|
(9,177
|
)
|
|
(6,248
|
)
|
|
(4,469
|
)
|
|
(3,105
|
)
|
||||
|
Net loss per common share, basic and diluted
|
(0.27
|
)
|
|
(0.18
|
)
|
|
(0.12
|
)
|
|
(0.08
|
)
|
||||
|
Shares used to compute net loss per common share, basic and diluted
|
34,271,254
|
|
|
34,314,234
|
|
|
38,620,036
|
|
|
40,731,334
|
|
||||
|
2017:
|
|
|
|
|
|
|
|
|
|
|
|
||||
|
Revenue
|
$
|
16,432
|
|
|
$
|
18,406
|
|
|
$
|
17,519
|
|
|
$
|
19,596
|
|
|
Net loss
|
(8,217
|
)
|
|
(7,298
|
)
|
|
(7,049
|
)
|
|
(8,439
|
)
|
||||
|
Net loss per common share, basic and diluted
|
(0.24
|
)
|
|
(0.22
|
)
|
|
(0.21
|
)
|
|
(0.24
|
)
|
||||
|
Shares used to compute net loss per common share, basic and diluted
|
33,823,889
|
|
|
33,873,128
|
|
|
33,946,748
|
|
|
35,055,524
|
|
||||
|
(a)
|
Documents filed as part of this report
|
|
(b)
|
Exhibits
|
|
|
|
Incorporated by Reference
|
|
|||
|
Exhibit Number
|
Description
|
Form
|
File No.
|
Exhibit
|
Filing Date
|
Filed Herewith
|
|
3.1
|
8-K
|
001-36156
|
3.1
|
11/8/2013
|
|
|
|
3.2
|
8-K
|
001-36156
|
3.2
|
11/8/2013
|
|
|
|
4.1
|
S-1/A
|
333-191282
|
4.1
|
10/15/2013
|
|
|
|
10.1#
|
S-1/A
|
333-191282
|
10.1
|
10/7/2013
|
|
|
|
10.2#
|
S-1
|
333-191282
|
10.2
|
9/20/2013
|
|
|
|
10.3#
|
10-K
|
001-36156
|
10.3
|
2/27/2018
|
|
|
|
10.4#
|
10-Q
|
001-36156
|
10.1
|
8/13/2015
|
|
|
|
10.5
|
S-1
|
333-191282
|
10.6
|
9/20/2013
|
|
|
|
10.6
|
10-Q
|
001-36156
|
10.1
|
11/7/2017
|
|
|
|
10.7
|
10-K
|
001-36156
|
10.7
|
3/20/2014
|
|
|
|
10.8
|
10-Q
|
001-36156
|
10.2
|
8/13/2015
|
|
|
|
|
|
Incorporated by Reference
|
|
|||
|
10.9
|
10-K
|
001-36156
|
10.9
|
2/27/2018
|
|
|
|
10.10
|
10-K
|
001-36156
|
10.10
|
3/1/2017
|
|
|
|
10.11#
|
S-1
|
333-191282
|
10.10
|
9/20/2013
|
|
|
|
10.12#
|
S-1
|
333-191282
|
10.11
|
9/20/2013
|
|
|
|
10.13#
|
S-1
|
333-191282
|
10.12
|
9/20/2013
|
|
|
|
10.14#
|
S-1
|
333-191282
|
10.18
|
9/20/2013
|
|
|
|
10.15†
|
10-K
|
001-36156
|
10.18
|
2/27/2018
|
|
|
|
10.16
|
10-K
|
001-36156
|
10.19
|
2/27/2018
|
|
|
|
10.17#
|
10-K
|
001-36156
|
10.20
|
2/27/2018
|
|
|
|
10.18
|
10-Q
|
001-36156
|
10.1
|
5/1/2018
|
|
|
|
10.19#
|
|
|
|
|
X
|
|
|
10.20#
|
|
|
|
|
X
|
|
|
10.21#
|
|
|
|
|
X
|
|
|
10.22†
|
|
|
|
|
X
|
|
|
23.1
|
|
|
|
|
X
|
|
|
24.1
|
|
|
|
|
X
|
|
|
31.1
|
|
|
|
|
X
|
|
|
31.2
|
|
|
|
|
X
|
|
|
32.1*
|
|
|
|
|
X
|
|
|
32.2*
|
|
|
|
|
X
|
|
|
|
|
Incorporated by Reference
|
|
|||
|
101.INS
|
XBRL Instance Document
|
|
|
|
|
X
|
|
101.SCH
|
XBRL Taxonomy Extension Schema
|
|
|
|
|
X
|
|
101.CAL
|
XBRL Taxonomy Extension Calculation Linkbase
|
|
|
|
|
X
|
|
101.DEF
|
XBRL Taxonomy Extension Definition Linkbase
|
|
|
|
|
X
|
|
101.LAB
|
XBRL Taxonomy Extension Label Linkbase
|
|
|
|
|
X
|
|
101.PRE
|
XBRL Taxonomy Extension Presentation Linkbase
|
|
|
|
|
X
|
|
#
|
|
Indicates management contract or compensatory plan or arrangement.
|
|
*
|
|
In accordance with Item 601(b)(32)(ii) of Regulation S-K and SEC Release No. 34-47986, the certifications furnished in Exhibits 32.1 and 32.2 hereto are deemed to accompany this Form 10-K and will not be deemed “filed” for purposes of Section 18 of the Securities Exchange Act of 1934 (the “Exchange Act”) or deemed to be incorporated by reference into any filing under the Exchange Act or the Securities Act of 1933, as amended, except to the extent that the registrant specifically incorporates it by reference.
|
|
†
|
|
Registrant is requesting or has previously been granted confidential treatment with respect to certain portions of this Exhibit.
|
|
(c)
|
Financial Statement Schedules
|
|
|
|
|
|
|
|
|
VERACYTE, INC.
|
|
|
|
|
By:
|
/s/ BONNIE H. ANDERSON
|
|
|
|
|
Bonnie H. Anderson
Chairman and Chief Executive Officer
|
|
Signature
|
|
Title
|
|
Date
|
|
|
|
|
|
|
|
/s/ BONNIE H. ANDERSON
|
|
Chairman and Chief Executive Officer (Principal Executive Officer)
|
|
February 25, 2019
|
|
Bonnie H. Anderson
|
|
|
|
|
|
|
|
|
|
|
|
/s/ KEITH KENNEDY
|
|
Chief Financial Officer (Principal Financial and Accounting Officer)
|
|
February 25, 2019
|
|
Keith Kennedy
|
|
|
|
|
|
|
|
|
|
|
|
/s/ JOHN L. BISHOP
|
|
Lead Independent Director
|
|
February 25, 2019
|
|
John L. Bishop
|
|
|
|
|
|
|
|
|
|
|
|
/s/ FRED E. COHEN, M.D., D.PHIL.
|
|
Director
|
|
February 25, 2019
|
|
Fred E. Cohen, M.D., D.Phil.
|
|
|
|
|
|
|
|
|
|
|
|
/s/ KARIN EASTHAM
|
|
Director
|
|
February 25, 2019
|
|
Karin Eastham
|
|
|
|
|
|
|
|
|
|
|
|
/s/ ROBERT S. EPSTEIN
|
|
Director
|
|
February 25, 2019
|
|
Robert S. Epstein
|
|
|
|
|
|
|
|
|
|
|
|
/s/ KEVIN K. GORDON
|
|
Director
|
|
February 25, 2019
|
|
Kevin K. Gordon
|
|
|
|
|
|
|
|
|
|
|
|
/s/ EVAN JONES
|
|
Director
|
|
February 25, 2019
|
|
Evan Jones
|
|
|
|
|
|
|
|
|
|
|
|
/s/ TINA S. NOVA, PH.D.
|
|
Director
|
|
February 25, 2019
|
|
Tina S. Nova, Ph.D.
|
|
|
|
|
|
|
|
|
|
|
|
/s/ JESSE I. TREU, PH.D.
|
|
Director
|
|
February 25, 2019
|
|
Jesse I. Treu, Ph.D.
|
|
|
|
|
No information found
* THE VALUE IS THE MARKET VALUE AS OF THE LAST DAY OF THE QUARTER FOR WHICH THE 13F WAS FILED.
| FUND | NUMBER OF SHARES | VALUE ($) | PUT OR CALL |
|---|
| DIRECTORS | AGE | BIO | OTHER DIRECTOR MEMBERSHIPS |
|---|
No information found
No Customers Found
No Suppliers Found
Price
Yield
| Owner | Position | Direct Shares | Indirect Shares |
|---|