10x Genomics (TXG)
Market Price (12/27/2025): $16.28 | Market Cap: $2.0 BilSector: Health Care | Industry: Health Care Technology
10x Genomics (TXG)
Market Price (12/27/2025): $16.28Market Cap: $2.0 BilSector: Health CareIndustry: Health Care Technology
Investment Highlights Why It Matters Detailed financial logic regarding cash flow yields vs trend-riding momentum.
| Cash is significant % of market capNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is -19% | Weak multi-year price returns2Y Excs Rtn is -117%, 3Y Excs Rtn is -135% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -141 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -22% |
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 14%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 13% | Meaningful short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 12% | Expensive valuation multiplesP/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 23x |
| Megatrend and thematic driversMegatrends include Biotechnology & Genomics, and Precision Medicine. Themes include Advanced Diagnostics, Personalized Diagnostics, Show more. | Weak revenue growthRev Chg QQuarterly Revenue Change % is -1.7% | |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 18% | ||
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -7.8% | ||
| Key risksTXG key risks include [1] a sharp decline in instrument revenue due to tightening research budgets, Show more. |
| Cash is significant % of market capNet D/ENet Debt/Equity. Debt net of cash. Negative indicates net cash. Equity is taken as the Market Capitalization is -19% |
| Attractive cash flow generationCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is 14%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is 13% |
| Megatrend and thematic driversMegatrends include Biotechnology & Genomics, and Precision Medicine. Themes include Advanced Diagnostics, Personalized Diagnostics, Show more. |
| Weak multi-year price returns2Y Excs Rtn is -117%, 3Y Excs Rtn is -135% |
| Meaningful short interestShort Interest % of Basic SharesShort Interest % of Basic Shares = (Short Interest Quantity) / (Basic Shares Outstanding). A high fraction of short interest can indicate potential risk of a short squeeze. is 12% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -141 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -22% |
| Expensive valuation multiplesP/CFOPrice/(Cash Flow from Operations). CFO is cash before capital expenditures. is 23x |
| Weak revenue growthRev Chg QQuarterly Revenue Change % is -1.7% |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 18% |
| Yield minus risk free rate is negativeERPEquity Risk Premium (ERP) = Total Yield - Risk Free Rate, Reflects the premium above risk free assets offered by the investment. is -7.8% |
| Key risksTXG key risks include [1] a sharp decline in instrument revenue due to tightening research budgets, Show more. |
Why The Stock Moved
Qualitative Assessment
AI Analysis | Feedback
I am unable to provide information regarding stock movements for the period from August 31, 2025, to December 27, 2025, as this time frame is in the future. I can only access and process information up to the most recent available date.
Show moreStock Movement Drivers
Fundamental Drivers
The 40.7% change in TXG stock from 9/26/2025 to 12/26/2025 was primarily driven by a 43.3% change in the company's P/S Multiple.| 9262025 | 12262025 | Change | |
|---|---|---|---|
| Stock Price ($) | 11.72 | 16.49 | 40.70% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 644.47 | 641.81 | -0.41% |
| P/S Multiple | 2.25 | 3.22 | 43.28% |
| Shares Outstanding (Mil) | 123.76 | 125.50 | -1.41% |
| Cumulative Contribution | 40.67% |
Market Drivers
9/26/2025 to 12/26/2025| Return | Correlation | |
|---|---|---|
| TXG | 40.7% | |
| Market (SPY) | 4.3% | 37.8% |
| Sector (XLV) | 15.2% | 18.9% |
Fundamental Drivers
The 40.6% change in TXG stock from 6/27/2025 to 12/26/2025 was primarily driven by a 40.1% change in the company's P/S Multiple.| 6272025 | 12262025 | Change | |
|---|---|---|---|
| Stock Price ($) | 11.73 | 16.49 | 40.58% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 624.66 | 641.81 | 2.75% |
| P/S Multiple | 2.30 | 3.22 | 40.05% |
| Shares Outstanding (Mil) | 122.61 | 125.50 | -2.36% |
| Cumulative Contribution | 40.50% |
Market Drivers
6/27/2025 to 12/26/2025| Return | Correlation | |
|---|---|---|
| TXG | 40.6% | |
| Market (SPY) | 12.6% | 39.7% |
| Sector (XLV) | 17.0% | 30.2% |
Fundamental Drivers
The 12.4% change in TXG stock from 12/26/2024 to 12/26/2025 was primarily driven by a 14.6% change in the company's P/S Multiple.| 12262024 | 12262025 | Change | |
|---|---|---|---|
| Stock Price ($) | 14.67 | 16.49 | 12.41% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 629.74 | 641.81 | 1.92% |
| P/S Multiple | 2.81 | 3.22 | 14.65% |
| Shares Outstanding (Mil) | 120.73 | 125.50 | -3.95% |
| Cumulative Contribution | 12.23% |
Market Drivers
12/26/2024 to 12/26/2025| Return | Correlation | |
|---|---|---|
| TXG | 12.4% | |
| Market (SPY) | 15.8% | 52.1% |
| Sector (XLV) | 13.3% | 39.8% |
Fundamental Drivers
The -48.3% change in TXG stock from 12/27/2022 to 12/26/2025 was primarily driven by a -55.4% change in the company's P/S Multiple.| 12272022 | 12262025 | Change | |
|---|---|---|---|
| Stock Price ($) | 31.89 | 16.49 | -48.29% |
| Change Contribution By | LTM | LTM | |
| Total Revenues ($ Mil) | 503.71 | 641.81 | 27.42% |
| P/S Multiple | 7.22 | 3.22 | -55.37% |
| Shares Outstanding (Mil) | 114.11 | 125.50 | -9.98% |
| Cumulative Contribution | -48.81% |
Market Drivers
12/27/2023 to 12/26/2025| Return | Correlation | |
|---|---|---|
| TXG | -71.1% | |
| Market (SPY) | 48.0% | 46.4% |
| Sector (XLV) | 18.2% | 38.5% |
Price Returns Compared
| 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| TXG Return | 86% | 5% | -76% | 54% | -74% | 16% | -78% |
| Peers Return | 16% | 38% | -12% | 21% | 26% | 16% | 150% |
| S&P 500 Return | 16% | 27% | -19% | 24% | 23% | 18% | 114% |
Monthly Win Rates [3] | |||||||
| TXG Win Rate | 67% | 50% | 17% | 67% | 25% | 58% | |
| Peers Win Rate | 52% | 65% | 42% | 68% | 57% | 52% | |
| S&P 500 Win Rate | 58% | 75% | 42% | 67% | 75% | 73% | |
Max Drawdowns [4] | |||||||
| TXG Max Drawdown | -32% | -5% | -84% | -6% | -76% | -50% | |
| Peers Max Drawdown | -34% | -5% | -26% | -7% | -9% | -23% | |
| S&P 500 Max Drawdown | -31% | -1% | -25% | -1% | -2% | -15% | |
[1] Cumulative total returns since the beginning of 2020
[2] Peers: HPQ, HPE, IBM, CSCO, AAPL.
[3] Win Rate = % of calendar months in which monthly returns were positive
[4] Max drawdown represents maximum peak-to-trough decline within a year
[5] 2025 data is for the year up to 12/26/2025 (YTD)
How Low Can It Go
| Event | TXG | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -87.9% | -25.4% |
| % Gain to Breakeven | 729.4% | 34.1% |
| Time to Breakeven | Not Fully Recovered days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -51.6% | -33.9% |
| % Gain to Breakeven | 106.7% | 51.3% |
| Time to Breakeven | 149 days | 148 days |
Compare to HPQ, HPE, IBM, CSCO, AAPL
In The Past
10x Genomics's stock fell -87.9% during the 2022 Inflation Shock from a high on 4/26/2021. A -87.9% loss requires a 729.4% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth over time.
Asset Allocation
Actively managed asset allocation strategies protect wealth. Learn more.
AI Analysis | Feedback
- Illumina for single-cell and spatial genomics
- Thermo Fisher Scientific for single-cell and spatial biology
AI Analysis | Feedback
- Chromium Single Cell Systems: Integrated platforms, including instruments and reagents, that enable high-throughput single-cell gene expression analysis.
- Visium Spatial Gene Expression: An integrated platform of instruments and reagents for mapping gene expression while preserving spatial context within tissue samples.
- Xenium In Situ Analysis: A high-resolution platform designed to visualize and quantify gene expression directly within tissue samples at subcellular resolution.
- Genomic Reagents & Consumables: Specialized chemical kits, chips, and other single-use components necessary to run experiments on their instruments.
- Software for Data Analysis: Tools for processing, visualizing, and interpreting the complex genomic data generated by their platforms.
AI Analysis | Feedback
10x Genomics (symbol: TXG) primarily sells its innovative instruments, consumables, and software to other companies and research institutions, rather than directly to individuals. The company serves a broad and diversified customer base globally.
While 10x Genomics does not publicly disclose specific named "major customers" in the traditional sense (i.e., individual companies accounting for a significant portion of revenue) due to its highly fragmented and diversified customer base, its products are widely adopted by and sold to the following categories of organizations:
- Academic Institutions: Leading universities and research centers worldwide that utilize 10x Genomics technology for fundamental scientific discovery across various fields like cancer research, neuroscience, immunology, and developmental biology.
- Government-funded Research Centers: National and international research laboratories supported by government funding (e.g., National Institutes of Health, Wellcome Trust Sanger Institute).
- Biotechnology Companies: A wide array of private and public biotechnology firms leveraging single-cell and spatial analysis for drug discovery, diagnostics, therapeutic development, and other R&D initiatives.
- Pharmaceutical Companies: Major global pharmaceutical companies that integrate 10x Genomics platforms into their drug discovery and development pipelines for applications such as target identification, mechanism of action studies, and biomarker discovery.
Because their customer base is diverse, consisting of thousands of individual labs and companies globally, 10x Genomics does not typically name specific customer companies in their financial disclosures. Therefore, specific customer company names and symbols cannot be provided.
AI Analysis | Feedback
- Thermo Fisher Scientific (TMO)
- Danaher Corporation (DHR)
- Merck KGaA (MRKGY)
AI Analysis | Feedback
Serge Saxonov, Chief Executive Officer, Co-founder
Serge Saxonov co-founded 10x Genomics in 2012 and has served as CEO since its inception, defining the company's vision and strategy and contributing to core inventions. Prior to 10x Genomics, he was Vice President of Applications at QuantaLife, where he was responsible for building content, driving new applications, and identifying key diagnostics opportunities. QuantaLife was acquired by Bio-Rad in 2011. Before QuantaLife, he was the first employee, Founding Architect, and Director of R&D at 23andMe. He received a Ph.D. in biomedical informatics from Stanford University and an A.B. in applied mathematics and biology from Harvard College.
Adam Taich, Chief Financial Officer
Adam Taich was appointed Chief Financial Officer of 10x Genomics, effective August 12, 2024. He is responsible for leading the company's financial team and strategy. Before joining 10x Genomics, Taich served as Chief Strategy Officer at Standard BioTools. He was also the interim Chief Executive Officer of SomaLogic, a proteomics company, and previously held roles as Chief Business Officer and Executive Vice President of Life Sciences at SomaLogic. Earlier in his career, he spent nearly 20 years at Thermo Fisher Scientific in various senior roles spanning finance, strategy, and general management.
Ben Hindson, President, Co-founder, Chief Scientific Officer
Ben Hindson co-founded 10x Genomics in 2012 and has served as Chief Scientific Officer and President since its founding. Before 10x Genomics, he co-founded and was Chief Scientific Officer of QuantaLife, a privately-held life sciences company that developed and commercialized a droplet digital PCR platform, until its acquisition by Bio-Rad Laboratories in 2011. Prior to QuantaLife, Ben held various positions at Lawrence Livermore National Laboratory in the Chemical and Biological Weapons Nonproliferation Program. He holds a B.S. in Chemistry and a Ph.D. in Chemistry from Deakin University, Australia.
Michael Schnall-Levin, Chief Technology Officer, Founding Scientist
Michael Schnall-Levin is the Chief Technology Officer and a Founding Scientist at 10x Genomics. He also serves as the Vice President of Product, R&D, and Strategy.
Mennah Moustafa, Chief Commercial Officer
Mennah Moustafa was appointed Chief Commercial Officer of 10x Genomics, effective August 1, 2024. She oversees commercial strategy, sales, support, and marketing. Moustafa joined 10x Genomics in April 2022 as Senior Vice President of Commercial Operations and served as interim Chief Commercial Officer since January 2024. Before joining 10x Genomics, she was Abcam's Head of Commercial for the Americas and later led Business Development and Customer Experience Journey. She also spent a decade at Sigma-Aldrich.
AI Analysis | Feedback
The key risks to 10x Genomics' (TXG) business are primarily centered around macroeconomic pressures, intense competition, and ongoing intellectual property disputes.
- Macroeconomic Uncertainty and Tightening Research Budgets: 10x Genomics faces significant pressure from a slowdown in instrument sales and persistent macroeconomic uncertainty, particularly within its key customer base of academic and government institutions. This tightening of research budgets, especially in the Americas, directly impacts capital expenditures and has led to a sharp decline in instrument revenue. The overall uncertain funding environment poses a significant external risk, affecting the company's near-term financial health and overall revenue growth.
- Intense Competition and Pricing Pressure: The biotechnology tools industry, in which 10x Genomics operates, is highly competitive. The company faces the constant threat of existing competitors and smaller innovative outlets developing superior products or outcompeting on price. 10x Genomics has already proactively lowered prices for some of its assays, such as the Chromium Flex, to drive volume, which can pressure top-line revenue and gross margins until volume sufficiently increases.
- Intellectual Property (IP) Disputes and Litigation: As a technology-driven company, 10x Genomics is regularly involved in lawsuits and legal proceedings related to intellectual property. These disputes can be a major financial drain, incurring substantial legal costs and diverting resources. The ability to protect and enforce its IP is crucial for maintaining market share and competitive advantage in the high-tech life sciences space.
AI Analysis | Feedback
Disruptive Cost and Throughput in Single-Cell Analysis: Companies such as Parse Biosciences (with its Evercode platform) and Fluent BioSciences (with PIP-seq) are introducing single-cell RNA sequencing technologies that offer significantly higher throughput and lower cost per cell compared to 10x Genomics' widely adopted Chromium platform. These alternative methodologies utilize different approaches, such as combinatorial barcoding or particle-based systems, which can simplify workflows and make large-scale single-cell studies more accessible and economical. This directly threatens 10x Genomics' market dominance in its foundational single-cell analysis segment by offering a potentially more scalable and cost-effective solution, similar to how Netflix offered a more affordable and convenient subscription model that disrupted Blockbuster's traditional rental business.
Advanced High-Resolution Spatial Genomics Platforms: In the rapidly growing spatial genomics market, competitors like BGI (with its Stereo-seq platform) and Resolve Biosciences (with its Molecular Cartography platform) are gaining significant traction. BGI's Stereo-seq offers ultra-high (sub-cellular) resolution and a vast field-of-view, potentially exceeding the capabilities of 10x Genomics' Visium platform and providing a strong alternative to its Xenium platform for detailed in situ analysis. Resolve Biosciences also focuses on highly multiplexed, sub-cellular resolution spatial analysis using a different technology. These platforms directly compete with 10x Genomics' expanding spatial product portfolio by offering potentially superior or differentiated performance metrics critical for cutting-edge spatial biology research. This mirrors how Apple's iPhone introduced a dramatically different and superior user experience and capability that threatened Research in Motion's BlackBerry, which relied on its established but less innovative platform.
AI Analysis | Feedback
10x Genomics (TXG) operates primarily in the fields of single-cell analysis and spatial genomics, with its main products and services encompassing platforms like the Chromium Single Cell system, Visium Spatial platform, and Xenium In Situ for various research applications.
Addressable Markets for 10x Genomics' Main Products and Services:
-
Single-Cell Analysis Market (Global): The global single-cell analysis market size was estimated at USD 4.34 billion in 2023 and is projected to reach USD 13.69 billion by 2030, growing at a Compound Annual Growth Rate (CAGR) of 18.7% from 2024 to 2030. Other estimates indicate the market was valued at USD 5.28 billion in 2025 and is forecast to climb to USD 9.77 billion by 2030, registering a 13.10% CAGR over the period. Another report calculated the market size at USD 4.78 billion in 2025 and forecasts it to reach around USD 18.68 billion by 2034, accelerating at a CAGR of 16.40% from 2025 to 2034. More recent data from 2024 shows the market size at USD 5.19 billion, growing to USD 6.16 billion in 2025, and projected to reach approximately USD 29.15 billion by 2034, expanding at a CAGR of 18.74% between 2025 and 2034.
-
Spatial Genomics & Transcriptomics Market (Global): The global spatial genomics and transcriptomics market was estimated at USD 232.5 million in 2022 and is projected to reach USD 574.3 million by 2030, growing at a CAGR of 12.2% from 2023 to 2030. Another assessment valued the market at USD 305.7 million in 2022 and projects it to increase at a CAGR of 15.2% from 2023 to 2032, reaching USD 1.2 billion by 2032. The market was valued at USD 403 million in 2024, with total global revenue expected to grow at a CAGR of 14% from 2025 to 2032, reaching nearly USD 1149.59 million. As of 2025, the spatial genomics and transcriptomics market size stands at USD 673 million and is on track to reach USD 1,207.39 million by 2030, delivering a 12.40% CAGR.
AI Analysis | Feedback
Expected Drivers of Future Revenue Growth for 10x Genomics (TXG)
Over the next 2-3 years, 10x Genomics (TXG) anticipates its revenue growth to be primarily driven by the continued expansion and adoption of its innovative product portfolio, particularly within spatial biology and next-generation single-cell analysis. Key drivers include: * Strong Adoption and Expansion of Spatial Biology Platforms: The Xenium platform and its associated consumables are expected to be significant growth engines. Demand for Xenium consumables has shown robust double-digit growth, and new offerings like Xenium Protein, which enables simultaneous RNA and protein detection, are poised to accelerate adoption by providing comprehensive multiomic insights. Additionally, the Visium HD platform, offering high-resolution spatial profiling and compatibility with various tissue types, along with planned additions like Visium HD 3', will further strengthen the company's position in the rapidly growing spatial biology market. * Launch and Growth of New Single-Cell Products: The introduction and increasing adoption of the Chromium GEM-X technology architecture, including the new Chromium Single Cell Gene Expression 3' v4 and Chromium Single Cell Immune Profiling 5' v3 products, are expected to drive revenue. These new assays, along with Flex and On-Chip Multiplexing, offer improved sensitivity, scalability, and cost-effectiveness (lower price per sample), which are crucial for attracting new customers and expanding into new use cases, thereby increasing reaction volumes. The next-generation Chromium Flex, with its plate-based workflows designed for mega-scale single-cell analysis, is also anticipated to significantly contribute to growth. * Increased Consumables Revenue: A sustained increase in the sales of consumables across both the spatial and single-cell platforms is a critical revenue driver. As the installed base of instruments (such as Xenium and Chromium X Series) grows, the recurring revenue from their proprietary consumables, including Xenium consumables and the new GEM-X and Flex assays, is projected to rise. This reflects a growing usage of 10x Genomics' technologies in academic, translational, and biopharmaceutical research. * Expansion to New Research and Clinical Markets: The enhanced capabilities and cost-effectiveness of new product launches, particularly in spatial biology, are expected to facilitate expansion into translational and clinical research markets. Partnerships, such as the collaboration with Anthropic to address data analysis bottlenecks and clinical trial initiatives, also aim to make single-cell and spatial analysis more accessible, potentially broadening the customer base beyond traditional academic research.AI Analysis | Feedback
Here is a summary of 10x Genomics (TXG) capital allocation decisions over the last 3-5 years:Share Repurchases
- 10x Genomics had a 5-Year Share Buyback Ratio of -4.40% as of June 2025, suggesting a net issuance of shares rather than repurchases during this period.
Share Issuance
- In August 2025, the acquisition of Scale Biosciences included $13.5 million in Class A common stock (1,099,992 shares) as part of the upfront consideration.
- As part of the ReadCoor acquisition in October 2020, 10x Genomics issued 1,901,382 shares of Class A common stock, valued at $306.0 million.
- The company consistently issues Class A common stock related to equity awards and stock-based compensation as part of its executive and employee compensation programs.
Outbound Investments
- 10x Genomics acquired Scale Biosciences in August 2025 for an upfront consideration of $30 million in cash and stock, plus a contingent consideration of $22.4 million recorded at fair value, to enhance its Chromium platform and single cell analysis capabilities.
- In October 2020, 10x Genomics acquired ReadCoor Inc. for a total consideration of $407.4 million, paid through $101.4 million in cash and $306.0 million in Class A common stock, to develop its in situ analysis technologies.
- In August 2020, 10x Genomics acquired Cartana AB for $41.2 million in cash, which included a $7 million earnout, to expand its expertise in in situ RNA analysis technology.
Capital Expenditures
- Annual capital expenditures were $37 million in 2020, $101 million in 2021, $132 million in 2022, $49 million in 2023, and $12 million in 2024.
- The company anticipated capital expenditures to be between $15 million and $20 million over the next 12 months as of June 2024.
- Capital expenditures are generally focused on strategic investments in innovation and long-term growth, with macroeconomic challenges continuing to influence customer spending patterns in this area.
Latest Trefis Analyses
| Title | |
|---|---|
| ARTICLES |
Trade Ideas
Select ideas related to TXG. For more, see Trefis Trade Ideas.
| Date | Ticker | Company | Category | Trade Strategy | 6M Fwd Rtn | 12M Fwd Rtn | 12M Max DD |
|---|---|---|---|---|---|---|---|
| 11142025 | CRL | Charles River Laboratories International | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 21.4% | 21.4% | -3.7% |
| 11142025 | GDRX | GoodRx | Dip Buy | DB | CFO/Rev | Low D/EDip Buy with High Cash Flow MarginsBuying dips for companies with significant cash flows from operations and reasonable debt / market cap | -7.4% | -7.4% | -11.8% |
| 11142025 | ASTH | Astrana Health | Dip Buy | DB | FCF Yield | Low D/EDip Buy with High Free Cash Flow YieldBuying dips for companies with significant free cash flow yield (FCF / Market Cap) and reasonable debt / market cap | 18.0% | 18.0% | -5.5% |
| 11142025 | SGRY | Surgery Partners | Dip Buy | DB | FCF Yield | Low D/EDip Buy with High Free Cash Flow YieldBuying dips for companies with significant free cash flow yield (FCF / Market Cap) and reasonable debt / market cap | 3.9% | 3.9% | -1.4% |
| 11072025 | TFX | Teleflex | Dip Buy | DB | FCFY OPMDip Buy with High FCF Yield and High MarginBuying dips for companies with high FCF yield and meaningfully high operating margin | 12.2% | 12.2% | -5.1% |
Research & Analysis
Invest in Strategies
Wealth Management
Peer Comparisons for 10x Genomics
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 51.32 |
| Mkt Cap | 158.8 |
| Rev LTM | 56,496 |
| Op Inc LTM | 7,584 |
| FCF LTM | 7,327 |
| FCF 3Y Avg | 7,366 |
| CFO LTM | 8,590 |
| CFO 3Y Avg | 8,697 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 5.2% |
| Rev Chg 3Y Avg | 3.2% |
| Rev Chg Q | 8.3% |
| QoQ Delta Rev Chg LTM | 2.0% |
| Op Mgn LTM | 12.1% |
| Op Mgn 3Y Avg | 11.9% |
| QoQ Delta Op Mgn LTM | 0.2% |
| CFO/Rev LTM | 17.2% |
| CFO/Rev 3Y Avg | 17.1% |
| FCF/Rev LTM | 15.4% |
| FCF/Rev 3Y Avg | 12.1% |
Price Behavior
| Market Price | $16.49 | |
| Market Cap ($ Bil) | 2.1 | |
| First Trading Date | 09/12/2019 | |
| Distance from 52W High | -18.1% | |
| 50 Days | 200 Days | |
| DMA Price | $15.72 | $12.22 |
| DMA Trend | up | up |
| Distance from DMA | 4.9% | 34.9% |
| 3M | 1YR | |
| Volatility | 77.6% | 71.7% |
| Downside Capture | 210.63 | 185.29 |
| Upside Capture | 334.86 | 170.83 |
| Correlation (SPY) | 37.2% | 52.1% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 2.74 | 2.39 | 2.45 | 2.48 | 1.94 | 1.95 |
| Up Beta | 3.77 | 3.40 | 4.46 | 2.79 | 1.99 | 2.06 |
| Down Beta | -2.24 | -0.22 | -0.22 | 1.22 | 1.71 | 1.51 |
| Up Capture | 790% | 633% | 442% | 535% | 365% | 794% |
| Bmk +ve Days | 13 | 26 | 39 | 74 | 142 | 427 |
| Stock +ve Days | 11 | 20 | 26 | 58 | 116 | 353 |
| Down Capture | 112% | 182% | 239% | 204% | 144% | 111% |
| Bmk -ve Days | 7 | 16 | 24 | 52 | 107 | 323 |
| Stock -ve Days | 9 | 22 | 36 | 66 | 127 | 390 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Comparison of TXG With Other Asset Classes (Last 1Y) | |||||||
|---|---|---|---|---|---|---|---|
| TXG | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | 17.5% | 15.1% | 17.8% | 72.1% | 8.6% | 4.4% | -8.3% |
| Annualized Volatility | 71.4% | 17.2% | 19.4% | 19.3% | 15.2% | 17.0% | 35.0% |
| Sharpe Ratio | 0.52 | 0.65 | 0.72 | 2.70 | 0.34 | 0.09 | -0.08 |
| Correlation With Other Assets | 40.0% | 52.0% | 7.5% | 12.3% | 40.4% | 32.5% | |
ETFs used for asset classes: Sector ETF = XLV, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
| Comparison of TXG With Other Asset Classes (Last 5Y) | |||||||
|---|---|---|---|---|---|---|---|
| TXG | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | -35.8% | 8.4% | 14.7% | 18.7% | 11.5% | 4.6% | 30.8% |
| Annualized Volatility | 68.3% | 14.5% | 17.1% | 15.5% | 18.7% | 18.9% | 48.7% |
| Sharpe Ratio | -0.36 | 0.40 | 0.70 | 0.97 | 0.50 | 0.16 | 0.57 |
| Correlation With Other Assets | 39.2% | 51.1% | 12.1% | 6.2% | 43.6% | 25.6% | |
ETFs used for asset classes: Sector ETF = XLV, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Comparison of TXG With Other Asset Classes (Last 10Y) | |||||||
|---|---|---|---|---|---|---|---|
| TXG | Sector ETF | Equity | Gold | Commodities | Real Estate | Bitcoin | |
| Annualized Return | -16.9% | 9.9% | 14.8% | 15.3% | 7.0% | 5.3% | 69.2% |
| Annualized Volatility | 66.7% | 16.6% | 18.0% | 14.7% | 17.6% | 20.8% | 55.8% |
| Sharpe Ratio | 0.01 | 0.49 | 0.71 | 0.86 | 0.32 | 0.22 | 0.90 |
| Correlation With Other Assets | 35.1% | 43.5% | 10.9% | 7.8% | 35.7% | 21.7% | |
ETFs used for asset classes: Sector ETF = XLV, Equity = SPY, Gold = GLD, Commodities = DBC, Real Estate = VNQ, and Bitcoin = BTCUSD
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Returns Analyses
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 11/6/2025 | 17.3% | 25.8% | 37.2% |
| 8/7/2025 | -4.0% | 3.4% | 8.8% |
| 5/8/2025 | 1.6% | 6.6% | 16.9% |
| 1/13/2025 | 0.8% | -3.2% | -24.1% |
| 10/29/2024 | 4.4% | 9.8% | -2.0% |
| 8/8/2024 | 4.5% | 15.8% | 11.6% |
| 4/30/2024 | -8.1% | -10.7% | -23.5% |
| 2/15/2024 | 0.8% | -6.4% | -24.9% |
| ... | |||
| SUMMARY STATS | |||
| # Positive | 15 | 11 | 12 |
| # Negative | 9 | 13 | 12 |
| Median Positive | 4.4% | 6.6% | 13.7% |
| Median Negative | -5.2% | -11.2% | -14.9% |
| Max Positive | 18.5% | 25.8% | 44.8% |
| Max Negative | -21.0% | -26.6% | -35.7% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 9302025 | 11072025 | 10-Q 9/30/2025 |
| 6302025 | 8082025 | 10-Q 6/30/2025 |
| 3312025 | 5092025 | 10-Q 3/31/2025 |
| 12312024 | 2132025 | 10-K 12/31/2024 |
| 9302024 | 10292024 | 10-Q 9/30/2024 |
| 6302024 | 8082024 | 10-Q 6/30/2024 |
| 3312024 | 4302024 | 10-Q 3/31/2024 |
| 12312023 | 2152024 | 10-K 12/31/2023 |
| 9302023 | 11032023 | 10-Q 9/30/2023 |
| 6302023 | 8042023 | 10-Q 6/30/2023 |
| 3312023 | 5042023 | 10-Q 3/31/2023 |
| 12312022 | 2162023 | 10-K 12/31/2022 |
| 9302022 | 11032022 | 10-Q 9/30/2022 |
| 6302022 | 8092022 | 10-Q 6/30/2022 |
| 3312022 | 5052022 | 10-Q 3/31/2022 |
| 12312021 | 2182022 | 10-K 12/31/2021 |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
Prefer one of these to Trefis? Tell us why.