Serve Robotics (SERV)
Market Price (4/8/2026): $8.63 | Market Cap: $636.2 MilSector: Information Technology | Industry: IT Services
Serve Robotics (SERV)
Market Price (4/8/2026): $8.63Market Cap: $636.2 MilSector: Information TechnologyIndustry: IT Services
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 -39% Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 46% Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -39% Megatrend and thematic driversMegatrends include Autonomous Technologies, and E-commerce & Digital Retail. Themes include Machine Vision, Machine Learning, Show more. | Weak multi-year price returns3Y Excs Rtn is -131% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -113 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -4253% Expensive valuation multiplesP/SPrice/Sales ratio is 223x Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 802% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -3026%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -4450% 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 -21% High stock price volatilityVol 12M is 100% Significant 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 26% Key risksSERV key risks include [1] an inability to achieve profitability and scale monetization due to a high cash burn rate and underutilization of its robots and [2] high customer concentration, 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 -39% |
| Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 46% |
| Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -39% |
| Megatrend and thematic driversMegatrends include Autonomous Technologies, and E-commerce & Digital Retail. Themes include Machine Vision, Machine Learning, Show more. |
| Weak multi-year price returns3Y Excs Rtn is -131% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -113 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -4253% |
| Expensive valuation multiplesP/SPrice/Sales ratio is 223x |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 802% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -3026%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -4450% |
| 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 -21% |
| High stock price volatilityVol 12M is 100% |
| Significant 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 26% |
| Key risksSERV key risks include [1] an inability to achieve profitability and scale monetization due to a high cash burn rate and underutilization of its robots and [2] high customer concentration, Show more. |
Qualitative Assessment
AI Analysis | Feedback
1. Persistent Operating Losses and High Cash Burn Projections.
Serve Robotics continued to incur substantial financial losses, reporting a GAAP net loss of $101.4 million for the full fiscal year 2025. Looking ahead, management projects non-GAAP operating expenses of $160 million to $170 million for 2026. This heavy spending is further underscored by planned capital expenditures of approximately $25 million in 2026, which nearly matches the anticipated $26 million in revenue for the same period, signaling continued significant cash utilization despite a strong liquidity position of $260 million as of December 31, 2025.
2. High Valuation Coupled with Declining Revenue per Robot.
The company's stock was trading at a forward 12-month price-to-sales (P/S) multiple of 25.11 in late February 2026, considerably higher than the industry average of 12.85. This elevated valuation implies aggressive growth expectations that may be difficult to sustain. Compounding this, analysis from March 2026 indicated that the revenue generated per active robot was declining, raising concerns about the efficiency of monetizing the expanding robot fleet and the long-term economics of the business model.
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Stock Movement Drivers
Fundamental Drivers
The -22.6% change in SERV stock from 12/31/2025 to 4/7/2026 was primarily driven by a -31.8% change in the company's P/S Multiple.| (LTM values as of) | 12312025 | 4072026 | Change |
|---|---|---|---|
| Stock Price ($) | 10.38 | 8.03 | -22.6% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 2 | 3 | 36.3% |
| P/S Multiple | 327.3 | 223.3 | -31.8% |
| Shares Outstanding (Mil) | 61 | 74 | -16.8% |
| Cumulative Contribution | -22.6% |
Market Drivers
12/31/2025 to 4/7/2026| Return | Correlation | |
|---|---|---|
| SERV | -22.6% | |
| Market (SPY) | -5.4% | 51.9% |
| Sector (XLK) | -4.5% | 53.2% |
Fundamental Drivers
The -31.0% change in SERV stock from 9/30/2025 to 4/7/2026 was primarily driven by a -50.6% change in the company's P/S Multiple.| (LTM values as of) | 9302025 | 4072026 | Change |
|---|---|---|---|
| Stock Price ($) | 11.63 | 8.03 | -31.0% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 1 | 3 | 79.1% |
| P/S Multiple | 451.8 | 223.3 | -50.6% |
| Shares Outstanding (Mil) | 58 | 74 | -22.0% |
| Cumulative Contribution | -31.0% |
Market Drivers
9/30/2025 to 4/7/2026| Return | Correlation | |
|---|---|---|
| SERV | -31.0% | |
| Market (SPY) | -2.9% | 50.6% |
| Sector (XLK) | -2.3% | 50.9% |
Fundamental Drivers
The 39.7% change in SERV stock from 3/31/2025 to 4/7/2026 was primarily driven by a 50.3% change in the company's P/S Multiple.| (LTM values as of) | 3312025 | 4072026 | Change |
|---|---|---|---|
| Stock Price ($) | 5.75 | 8.03 | 39.7% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 2 | 3 | 46.3% |
| P/S Multiple | 148.6 | 223.3 | 50.3% |
| Shares Outstanding (Mil) | 47 | 74 | -36.5% |
| Cumulative Contribution | 39.7% |
Market Drivers
3/31/2025 to 4/7/2026| Return | Correlation | |
|---|---|---|
| SERV | 39.7% | |
| Market (SPY) | 16.3% | 49.0% |
| Sector (XLK) | 33.7% | 50.4% |
Fundamental Drivers
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Market Drivers
3/31/2023 to 4/7/2026| Return | Correlation | |
|---|---|---|
| SERV | ||
| Market (SPY) | 63.3% | 20.7% |
| Sector (XLK) | 85.6% | 20.1% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| SERV Return | - | - | - | -46% | -23% | -20% | -67% |
| Peers Return | 32% | -30% | 78% | 6% | 43% | 3% | 159% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | -3% | 76% |
Monthly Win Rates [3] | |||||||
| SERV Win Rate | - | - | - | 40% | 58% | 25% | |
| Peers Win Rate | 63% | 40% | 57% | 50% | 55% | 40% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 50% | |
Max Drawdowns [4] | |||||||
| SERV Max Drawdown | - | - | - | -93% | -62% | -26% | |
| Peers Max Drawdown | -5% | -44% | -9% | -23% | -32% | -14% | |
| S&P 500 Max Drawdown | -1% | -25% | -1% | -2% | -15% | -7% | |
[1] Cumulative total returns since the beginning of 2021
[2] Peers: TRMB, ZBRA, TER, ROK, SYM.
[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] 2026 data is for the year up to 4/7/2026 (YTD)
How Low Can It Go
SERV has limited trading history. Below is the Information Technology sector ETF (XLK) in its place.
| Event | XLK | S&P 500 |
|---|---|---|
| 2022 Inflation Shock | ||
| % Loss | -34.0% | -25.4% |
| % Gain to Breakeven | 51.6% | 34.1% |
| Time to Breakeven | 278 days | 464 days |
| 2020 Covid Pandemic | ||
| % Loss | -31.5% | -33.9% |
| % Gain to Breakeven | 46.0% | 51.3% |
| Time to Breakeven | 79 days | 148 days |
| 2018 Correction | ||
| % Loss | -24.1% | -19.8% |
| % Gain to Breakeven | 31.8% | 24.7% |
| Time to Breakeven | 105 days | 120 days |
| 2008 Global Financial Crisis | ||
| % Loss | -53.6% | -56.8% |
| % Gain to Breakeven | 115.3% | 131.3% |
| Time to Breakeven | 1,183 days | 1,480 days |
Compare to TRMB, ZBRA, TER, ROK, SYM
In The Past
SPDR Select Sector Fund's stock fell -34.0% during the 2022 Inflation Shock from a high on 12/27/2021. A -34.0% loss requires a 51.6% gain to breakeven.
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About Serve Robotics (SERV)
AI Analysis | Feedback
- Uber Eats, but with robots handling the deliveries.
- Think of them as the Waymo or Cruise for delivering goods on sidewalks.
AI Analysis | Feedback
- Robotic Last-Mile Delivery Service: Operates a fleet of AI-powered sidewalk robots to provide efficient and low-cost last-mile delivery of goods, primarily food, for partner companies.
AI Analysis | Feedback
Serve Robotics (SERV) primarily sells its services to other companies. Its major customers include:
- Uber Technologies, Inc. (UBER) - Serve Robotics has a commercial partnership and agreement with Uber to deploy its robots, including integrations with the Uber Eats division.
- 7-Eleven, Inc. - Serve Robotics has platform-level integrations with 7-Eleven, Inc.
AI Analysis | Feedback
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AI Analysis | Feedback
Ali Kashani, Co-founder, CEO
Ali Kashani co-founded Serve Robotics in January 2021 and has served as Chief Executive Officer since. He initially founded what would become Serve Robotics in 2017 as a robotics initiative within Postmates. Following Uber's acquisition of Postmates in 2020, Dr. Kashani led the spinout of Serve as an independent company in 2021. Prior to co-founding Serve, he was Vice President of Postmates Inc.. He also co-founded and served as Chief Technology Officer at Neurio Technology, Inc., a smart home technology company that was acquired by Generac Power Systems. He is an inventor with 15 granted or pending patents.
Brian Read, Chief Financial Officer
Brian Read has served as Serve's Chief Financial Officer since April 2024. He previously served as Controller for Apptronik Inc. from April 2023 to April 2024. Prior to that, he was Global Controller at REE Automotive Ltd. (NASDAQ: REE) from February 2021 to March 2023, and Assistant Global Controller at Coherent Corp (NASDAQ: COHR) from January 2019 to January 2021. Mr. Read began his career at PricewaterhouseCoopers from July 2011 to January 2017. He holds a Bachelor of Science in Business Administration from Duquesne University and is a Certified Public Accountant.
Touraj Parang, President & COO
Touraj Parang has served as Serve's Chief Operating Officer and as a member of the Board since March 2021, and was appointed President in July 2022. Before joining Serve, Mr. Parang was Vice President of Corporate Development at GoDaddy Inc. (NYSE: GDDY). He was the founding Chief Operating Officer of UpCounsel Technologies, Inc., which was acquired by Enduring Ventures, Inc., and co-founder and Chief Operating Officer of Jaxtr, Inc., which was acquired by Sabse Technologies Inc..
Dmitry Demeshchuk, Co-founder & VP of Software
Dmitry Demeshchuk co-founded Serve in January 2021 and has served as Vice President of Software since then. Prior to co-founding Serve, he was a Director at Postmates Inc., where he was a founding engineer in the internal innovation unit Postmates X.
MJ Chun, Co-founder & VP of Product and Design
MJ Chun co-founded Serve in January 2021 and has served as Vice President of Product and Design since. Prior to co-founding Serve, she was a Director at Postmates Inc..
AI Analysis | Feedback
One key risk to Serve Robotics' business is its dependence on raising additional rounds of financing to fund the expansion of its robot fleet. The company explicitly states that it plans to expand its current fleet of over 100 robots by building and deploying hundreds of new robots in the coming years *after* securing further financing.
Another significant risk is the company's reliance on its commercial partnerships, particularly with Uber. Serve has a commercial-scale agreement with Uber to deploy up to 2,000 robots across the United States, making Uber a critical partner for the scaling and widespread adoption of Serve's technology.
A third key risk is the ability to achieve the necessary scale, full utilization, and high autonomy of its robots to reach its projected cost-effectiveness. Serve believes its robots have the potential to reduce average delivery costs to under $1.00, making on-demand delivery more affordable, but this is contingent on achieving these operational efficiencies.
AI Analysis | Feedback
nullAI Analysis | Feedback
The addressable market for Serve Robotics' main products and services is as follows:
- The potential market for food and parcel delivery by robots and drones may grow to as much as $450 billion globally in 2030.
AI Analysis | Feedback
Serve Robotics (SERV) is expected to drive future revenue growth over the next 2-3 years through several key initiatives:
- Expansion of Robot Fleet and Deployment: Serve Robotics plans to significantly expand its operational capacity by building and deploying hundreds of new robots in the coming years. This increase in the number of active robots directly correlates with a higher volume of deliveries and, consequently, increased revenue.
- Scaling Existing Commercial Partnerships: The company has established significant platform-level integrations and commercial agreements, particularly with Uber Eats, including a commercial-scale agreement to deploy up to 2,000 robots across the United States. Further scaling these relationships, along with its partnership with 7-Eleven, Inc., will lead to a substantial increase in delivery volume and revenue.
- Geographic Expansion within the United States: The agreement with Uber to deploy robots across the United States indicates a clear strategy for expanding Serve Robotics' operational footprint beyond its current locations. Entering new markets will expose the company to a larger customer base and new revenue streams.
- Capturing Increased Market Share by Leveraging Cost Efficiencies in a Growing Market: Serve Robotics aims to reduce the average delivery cost to under $1.00 through full utilization and high autonomy, making on-demand delivery more affordable. This cost advantage, combined with the projected growth of the global food and parcel delivery market to as much as $450 billion by 2030, positions Serve to capture a larger share of the expanding on-demand delivery market.
AI Analysis | Feedback
Inbound Investments
- In February 2021, Uber invested cash into Serve Robotics and contributed intellectual property, in return for acquiring a minority equity interest in the business.
- Serve Robotics’ strategic investors include NVIDIA, Uber, 7-Ventures, and Delivery Hero’s corporate venture units.
Capital Expenditures
- Serve Robotics plans to expand its current fleet of over 100 robots by building and deploying hundreds of new robots in the coming years, after raising additional rounds of financing.
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Research & Analysis
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Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 138.36 |
| Mkt Cap | 12.9 |
| Rev LTM | 3,389 |
| Op Inc LTM | 650 |
| FCF LTM | 615 |
| FCF 3Y Avg | 461 |
| CFO LTM | 764 |
| CFO 3Y Avg | 573 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 10.7% |
| Rev Chg 3Y Avg | 1.1% |
| Rev Chg Q | 20.7% |
| QoQ Delta Rev Chg LTM | 4.5% |
| Op Mgn LTM | 15.9% |
| Op Mgn 3Y Avg | 14.3% |
| QoQ Delta Op Mgn LTM | 1.3% |
| CFO/Rev LTM | 16.8% |
| CFO/Rev 3Y Avg | 14.5% |
| FCF/Rev LTM | 14.3% |
| FCF/Rev 3Y Avg | 12.8% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 12.9 |
| P/S | 4.5 |
| P/EBIT | 21.0 |
| P/E | 30.7 |
| P/CFO | 20.5 |
| Total Yield | 2.0% |
| Dividend Yield | 0.0% |
| FCF Yield 3Y Avg | 3.0% |
| D/E | 0.0 |
| Net D/E | 0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | -1.7% |
| 3M Rtn | -19.4% |
| 6M Rtn | -21.8% |
| 12M Rtn | 56.3% |
| 3Y Rtn | 37.0% |
| 1M Excs Rtn | 0.1% |
| 3M Excs Rtn | -13.3% |
| 6M Excs Rtn | -17.9% |
| 12M Excs Rtn | 30.0% |
| 3Y Excs Rtn | -33.2% |
Price Behavior
| Market Price | $8.03 | |
| Market Cap ($ Bil) | 0.6 | |
| First Trading Date | 03/07/2024 | |
| Distance from 52W High | -54.6% | |
| 50 Days | 200 Days | |
| DMA Price | $9.72 | $11.20 |
| DMA Trend | down | down |
| Distance from DMA | -17.4% | -28.3% |
| 3M | 1YR | |
| Volatility | 86.9% | 100.7% |
| Downside Capture | 1.90 | 2.50 |
| Upside Capture | 169.07 | 354.14 |
| Correlation (SPY) | 49.4% | 49.7% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 3.19 | 3.88 | 3.56 | 4.11 | 2.58 | -0.26 |
| Up Beta | 7.62 | 8.91 | 6.57 | 3.47 | 1.98 | 0.35 |
| Down Beta | 3.86 | 2.71 | 4.12 | 4.89 | 2.22 | 1.32 |
| Up Capture | 359% | 425% | 357% | 665% | 1549% | 1560% |
| Bmk +ve Days | 7 | 16 | 27 | 65 | 139 | 424 |
| Stock +ve Days | 9 | 18 | 30 | 58 | 118 | 240 |
| Down Capture | 218% | 278% | 214% | 249% | 172% | 113% |
| Bmk -ve Days | 12 | 23 | 33 | 58 | 110 | 323 |
| Stock -ve Days | 13 | 24 | 33 | 67 | 131 | 270 |
[1] Upside and downside betas calculated using positive and negative benchmark daily returns respectively
Based On 1-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with SERV | |
|---|---|---|---|---|
| SERV | 57.0% | 100.5% | 0.89 | - |
| Sector ETF (XLK) | 41.6% | 26.1% | 1.29 | 50.0% |
| Equity (SPY) | 21.3% | 18.3% | 0.94 | 48.5% |
| Gold (GLD) | 51.9% | 28.0% | 1.49 | 0.7% |
| Commodities (DBC) | 20.3% | 17.2% | 1.02 | 9.4% |
| Real Estate (VNQ) | 6.9% | 16.1% | 0.23 | 25.5% |
| Bitcoin (BTCUSD) | -17.5% | 44.0% | -0.31 | 41.1% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with SERV | |
|---|---|---|---|---|
| SERV | -21.5% | 198.8% | 0.55 | - |
| Sector ETF (XLK) | 16.9% | 24.7% | 0.61 | 20.1% |
| Equity (SPY) | 11.7% | 17.0% | 0.53 | 20.7% |
| Gold (GLD) | 22.5% | 17.8% | 1.04 | -0.5% |
| Commodities (DBC) | 12.0% | 18.8% | 0.52 | 0.4% |
| Real Estate (VNQ) | 3.4% | 18.8% | 0.09 | 9.8% |
| Bitcoin (BTCUSD) | 3.1% | 56.5% | 0.28 | 18.0% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Based On 10-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with SERV | |
|---|---|---|---|---|
| SERV | -11.4% | 198.8% | 0.55 | - |
| Sector ETF (XLK) | 21.4% | 24.3% | 0.81 | 20.1% |
| Equity (SPY) | 13.9% | 17.9% | 0.67 | 20.7% |
| Gold (GLD) | 13.9% | 15.9% | 0.73 | -0.5% |
| Commodities (DBC) | 8.4% | 17.6% | 0.40 | 0.4% |
| Real Estate (VNQ) | 4.9% | 20.7% | 0.20 | 9.8% |
| Bitcoin (BTCUSD) | 66.6% | 66.8% | 1.06 | 18.0% |
Smart multi-asset allocation framework can stack odds in your favor. Learn How
Earnings Returns History
Expand for More| Forward Returns | |||
|---|---|---|---|
| Earnings Date | 1D Returns | 5D Returns | 21D Returns |
| 3/11/2026 | 10.1% | -0.5% | |
| 11/12/2025 | -10.0% | -13.9% | 4.8% |
| 8/7/2025 | -1.1% | -3.9% | -0.8% |
| 3/6/2025 | -6.2% | -11.4% | -34.1% |
| 11/7/2024 | -16.5% | -27.5% | 10.6% |
| 8/13/2024 | 9.6% | 8.3% | -29.2% |
| 5/15/2024 | -9.6% | -19.5% | -41.3% |
| SUMMARY STATS | |||
| # Positive | 2 | 1 | 2 |
| # Negative | 5 | 6 | 4 |
| Median Positive | 9.9% | 8.3% | 7.7% |
| Median Negative | -9.6% | -12.7% | -31.7% |
| Max Positive | 10.1% | 8.3% | 10.6% |
| Max Negative | -16.5% | -27.5% | -41.3% |
SEC Filings
Expand for More| Report Date | Filing Date | Filing |
|---|---|---|
| 12/31/2025 | 03/12/2026 | 10-K |
| 09/30/2025 | 11/14/2025 | 10-Q |
| 06/30/2025 | 08/08/2025 | 10-Q |
| 03/31/2025 | 05/08/2025 | 10-Q |
| 12/31/2024 | 03/06/2025 | 10-K |
| 09/30/2024 | 11/07/2024 | 10-Q |
| 06/30/2024 | 08/14/2024 | 424B3 |
| 03/31/2024 | 05/15/2024 | 10-Q |
| 12/31/2023 | 04/19/2024 | 424B4 |
| 09/30/2023 | 11/28/2023 | S-1/A |
| 06/30/2023 | 11/01/2023 | S-1/A |
| 12/31/2022 | 02/14/2024 | DRS |
Insider Activity
Expand for More| # | Owner | Title | Holding | Action | Filing Date | Price | Shares | Transacted Value | Value of Held Shares | Form |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Dunn, Evan | General Counsel | Direct | Sell | 1072026 | 12.81 | 598 | 7,660 | 2,641,678 | Form |
| 2 | Read, Brian | Chief Financial Officer | Direct | Sell | 12312025 | 10.37 | 1,863 | 19,319 | 3,477,434 | Form |
| 3 | Armenta, Anthony | Chief Software & Data Officer | Direct | Sell | 12162025 | 11.96 | 5,003 | 59,836 | 6,638,207 | Form |
| 4 | Abraham, Euan | Chief Hardware & Mftg Offcr | Direct | Sell | 12152025 | 11.87 | 1,917 | 22,755 | 2,882,831 | Form |
| 5 | Read, Brian | Chief Financial Officer | Direct | Sell | 12152025 | 11.87 | 371 | 4,404 | 4,082,081 | Form |
External Quote Links
| Y Finance | Barrons |
| TradingView | Morningstar |
| SeekingAlpha | ValueLine |
| Motley Fool | Robinhood |
| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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