Serve Robotics (SERV)
Market Price (5/25/2026): $8.65 | Market Cap: $651.4 MilSector: Information Technology | Industry: IT Services
Serve Robotics (SERV)
Market Price (5/25/2026): $8.65Market Cap: $651.4 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 -28% Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 298% Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -56% 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 -145% | Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -150 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -2879% Expensive valuation multiplesP/SPrice/Sales ratio is 126x Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 476% Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -2160%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -2846% 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 -25% 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 28% 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 -28% |
| Strong revenue growthRev Chg LTMRevenue Change % Last Twelve Months (LTM) is 298% |
| Valuation becoming less expensiveP/S 6M Chg %Price/Sales change over 6 months. Declining P/S indicates valuation has become less expensive. is -56% |
| 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 -145% |
| Not profitable at operating income levelOp Inc LTMOperating Income, Last Twelve Months is -150 Mil, Op Mgn LTMOperating Margin = Operating Income / Revenue Reflects profitability before taxes and before impact of capital structure (interest payments). is -2879% |
| Expensive valuation multiplesP/SPrice/Sales ratio is 126x |
| Significant share based compensationSBC/Rev LTMShare Based Compensation / Revenue (Sales), Last Twelve Months (LTM) is 476% |
| Not cash flow generativeCFO/Rev LTMCash Flow from Operations / Revenue (Sales), Last Twelve Months (LTM) is -2160%, FCF/Rev LTMFree Cash Flow / Revenue (Sales), Last Twelve Months (LTM) is -2846% |
| 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 -25% |
| 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 28% |
| 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. Widening Net Losses and Substantial Cash Burn in Q1 2026. Serve Robotics reported a net loss of $49.0 million, or $(0.65) per share, for the first quarter ended March 31, 2026, which significantly widened from a $13.2 million loss in the prior year. This was primarily driven by heavy spending on research and development, operations, and recent acquisitions, resulting in an operating cash outflow of $41.4 million for the quarter.
2. Missed Q1 2026 Earnings Per Share (EPS) Estimates. The company's reported EPS of -$0.65 for Q1 2026 fell short of the consensus analyst estimate of -$0.57 by $0.08.
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Stock Movement Drivers
Fundamental Drivers
The -16.6% change in SERV stock from 1/31/2026 to 5/24/2026 was primarily driven by a -61.7% change in the company's P/S Multiple.| (LTM values as of) | 1312026 | 5242026 | Change |
|---|---|---|---|
| Stock Price ($) | 10.43 | 8.70 | -16.6% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 2 | 5 | 167.1% |
| P/S Multiple | 329.0 | 126.1 | -61.7% |
| Shares Outstanding (Mil) | 61 | 75 | -18.5% |
| Cumulative Contribution | -16.6% |
Market Drivers
1/31/2026 to 5/24/2026| Return | Correlation | |
|---|---|---|
| SERV | -16.6% | |
| Market (SPY) | 8.1% | 64.2% |
| Sector (XLK) | 25.5% | 60.2% |
Fundamental Drivers
The -34.2% change in SERV stock from 10/31/2025 to 5/24/2026 was primarily driven by a -75.5% change in the company's P/S Multiple.| (LTM values as of) | 10312025 | 5242026 | Change |
|---|---|---|---|
| Stock Price ($) | 13.23 | 8.70 | -34.2% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 1 | 5 | 251.0% |
| P/S Multiple | 514.1 | 126.1 | -75.5% |
| Shares Outstanding (Mil) | 58 | 75 | -23.6% |
| Cumulative Contribution | -34.2% |
Market Drivers
10/31/2025 to 5/24/2026| Return | Correlation | |
|---|---|---|
| SERV | -34.2% | |
| Market (SPY) | 9.9% | 54.6% |
| Sector (XLK) | 20.3% | 50.8% |
Fundamental Drivers
The 41.0% change in SERV stock from 4/30/2025 to 5/24/2026 was primarily driven by a 186.6% change in the company's Total Revenues ($ Mil).| (LTM values as of) | 4302025 | 5242026 | Change |
|---|---|---|---|
| Stock Price ($) | 6.17 | 8.70 | 41.0% |
| Change Contribution By: | |||
| Total Revenues ($ Mil) | 2 | 5 | 186.6% |
| P/S Multiple | 159.4 | 126.1 | -20.9% |
| Shares Outstanding (Mil) | 47 | 75 | -37.8% |
| Cumulative Contribution | 41.0% |
Market Drivers
4/30/2025 to 5/24/2026| Return | Correlation | |
|---|---|---|
| SERV | 41.0% | |
| Market (SPY) | 36.0% | 52.5% |
| Sector (XLK) | 72.8% | 46.7% |
Fundamental Drivers
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Market Drivers
4/30/2023 to 5/24/2026| Return | Correlation | |
|---|---|---|
| SERV | ||
| Market (SPY) | 86.3% | 21.3% |
| Sector (XLK) | 144.2% | 20.0% |
Price Returns Compared
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | Total [1] | |
|---|---|---|---|---|---|---|---|
| Returns | |||||||
| SERV Return | - | - | - | -46% | -23% | -15% | -65% |
| Peers Return | 32% | -30% | 78% | 6% | 43% | 11% | 177% |
| S&P 500 Return | 27% | -19% | 24% | 23% | 16% | 9% | 98% |
Monthly Win Rates [3] | |||||||
| SERV Win Rate | - | - | - | 40% | 58% | 40% | |
| Peers Win Rate | 63% | 40% | 57% | 50% | 55% | 48% | |
| S&P 500 Win Rate | 75% | 42% | 67% | 75% | 67% | 60% | |
Max Drawdowns [4] | |||||||
| SERV Max Drawdown | - | - | - | - | -78% | -50% | |
| Peers Max Drawdown | -18% | -53% | -37% | -31% | -41% | -28% | |
| S&P 500 Max Drawdown | -5% | -25% | -10% | -8% | -19% | -9% | |
[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 5/22/2026 (YTD)
How Low Can It Go
| Event | SERV | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -61.6% | -18.8% |
| % Gain to Breakeven | 160.5% | 23.1% |
| Time to Breakeven | 164 days | 79 days |
In The Past
Serve Robotics's stock fell -61.6% during the 2025 US Tariff Shock. Such a loss loss requires a 160.5% gain to breakeven.
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| Event | SERV | S&P 500 |
|---|---|---|
| 2025 US Tariff Shock | ||
| % Loss | -61.6% | -18.8% |
| % Gain to Breakeven | 160.5% | 23.1% |
| Time to Breakeven | 164 days | 79 days |
In The Past
Serve Robotics's stock fell -61.6% during the 2025 US Tariff Shock. Such a loss loss requires a 160.5% gain to breakeven.
Preserve Wealth
Limiting losses and compounding gains is essential to preserving wealth.
Asset Allocation
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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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Trade Ideas
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| 04302026 | PLTR | Palantir Technologies | Monopoly | MY | Getting CheaperMonopoly-Like with P/S DeclineLarge cap with monopoly-like margins or cash flow generation and getting cheaper based on P/S multiple | 0.0% | 0.0% | 0.0% |
| 04102026 | ADSK | Autodesk | 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 | 8.5% | 8.5% | 0.0% |
| 04102026 | BSY | Bentley Systems | 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 | 4.2% | 4.2% | 0.0% |
| 04102026 | ENPH | Enphase Energy | Dip Buy | DB | P/E OPMDip Buy with Low PE and High MarginBuying dips for companies with tame PE and meaningfully high operating margin | 5.7% | 5.7% | 0.0% |
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Research & Analysis
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Wealth Management
Peer Comparisons
| Peers to compare with: |
Financials
| Median | |
|---|---|
| Name | |
| Mkt Price | 155.94 |
| Mkt Cap | 12.9 |
| Rev LTM | 3,737 |
| Op Inc LTM | 741 |
| FCF LTM | 651 |
| FCF 3Y Avg | 509 |
| CFO LTM | 812 |
| CFO 3Y Avg | 626 |
Growth & Margins
| Median | |
|---|---|
| Name | |
| Rev Chg LTM | 16.0% |
| Rev Chg 3Y Avg | 2.2% |
| Rev Chg Q | 18.7% |
| QoQ Delta Rev Chg LTM | 4.4% |
| Op Inc Chg LTM | 42.5% |
| Op Inc Chg 3Y Avg | 10.2% |
| Op Mgn LTM | 16.3% |
| Op Mgn 3Y Avg | 14.2% |
| QoQ Delta Op Mgn LTM | 1.0% |
| CFO/Rev LTM | 16.9% |
| CFO/Rev 3Y Avg | 15.0% |
| FCF/Rev LTM | 14.8% |
| FCF/Rev 3Y Avg | 13.4% |
Valuation
| Median | |
|---|---|
| Name | |
| Mkt Cap | 12.9 |
| P/S | 4.7 |
| P/Op Inc | 17.6 |
| P/EBIT | 19.6 |
| P/E | 29.5 |
| P/CFO | 19.9 |
| Total Yield | 2.5% |
| Dividend Yield | 0.0% |
| FCF Yield 3Y Avg | 3.3% |
| D/E | 0.0 |
| Net D/E | 0.0 |
Returns
| Median | |
|---|---|
| Name | |
| 1M Rtn | -7.3% |
| 3M Rtn | 0.2% |
| 6M Rtn | 3.4% |
| 12M Rtn | 20.0% |
| 3Y Rtn | 37.2% |
| 1M Excs Rtn | -13.8% |
| 3M Excs Rtn | -4.4% |
| 6M Excs Rtn | -7.1% |
| 12M Excs Rtn | -6.6% |
| 3Y Excs Rtn | -34.6% |
Price Behavior
| Market Price | $8.70 | |
| Market Cap ($ Bil) | 0.6 | |
| First Trading Date | 03/07/2024 | |
| Distance from 52W High | -50.8% | |
| 50 Days | 200 Days | |
| DMA Price | $8.96 | $10.89 |
| DMA Trend | down | down |
| Distance from DMA | -2.9% | -20.1% |
| 3M | 1YR | |
| Volatility | 68.6% | 89.5% |
| Downside Capture | 376.28 | 469.65 |
| Upside Capture | 235.81 | 296.98 |
| Correlation (SPY) | 63.6% | 51.9% |
| 1M | 2M | 3M | 6M | 1Y | 3Y | |
|---|---|---|---|---|---|---|
| Beta | 2.65 | 2.96 | 3.43 | 3.61 | 4.09 | 0.28 |
| Up Beta | 2.77 | 3.01 | 4.01 | 2.86 | 3.81 | -0.26 |
| Down Beta | 11.62 | 4.19 | 2.97 | 4.19 | 4.72 | 1.40 |
| Up Capture | 202% | 256% | 330% | 500% | 1563% | 1856% |
| Bmk +ve Days | 15 | 22 | 31 | 66 | 141 | 428 |
| Stock +ve Days | 12 | 20 | 29 | 57 | 118 | 251 |
| Down Capture | 96% | 268% | 304% | 258% | 206% | 113% |
| Bmk -ve Days | 4 | 18 | 30 | 56 | 108 | 321 |
| Stock -ve Days | 10 | 23 | 35 | 67 | 131 | 280 |
[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 | -4.3% | 92.4% | 0.35 | - |
| Sector ETF (XLK) | 58.5% | 20.5% | 2.13 | 45.5% |
| Equity (SPY) | 29.5% | 12.0% | 1.86 | 50.3% |
| Gold (GLD) | 35.5% | 26.8% | 1.11 | 9.1% |
| Commodities (DBC) | 42.9% | 18.7% | 1.77 | -7.3% |
| Real Estate (VNQ) | 15.2% | 13.1% | 0.82 | 18.0% |
| Bitcoin (BTCUSD) | -31.3% | 41.8% | -0.78 | 42.0% |
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Based On 5-Year Data
| Annualized Return | Annualized Volatility | Sharpe Ratio | Correlation with SERV | |
|---|---|---|---|---|
| SERV | -20.2% | 193.2% | 0.55 | - |
| Sector ETF (XLK) | 22.7% | 24.8% | 0.80 | 20.0% |
| Equity (SPY) | 14.0% | 17.0% | 0.64 | 21.3% |
| Gold (GLD) | 18.8% | 18.0% | 0.85 | 0.2% |
| Commodities (DBC) | 10.4% | 19.4% | 0.42 | -1.8% |
| Real Estate (VNQ) | 3.8% | 18.8% | 0.10 | 10.2% |
| Bitcoin (BTCUSD) | 11.6% | 55.3% | 0.41 | 17.9% |
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 | -10.7% | 193.2% | 0.55 | - |
| Sector ETF (XLK) | 25.3% | 24.4% | 0.93 | 20.0% |
| Equity (SPY) | 15.7% | 17.9% | 0.75 | 21.3% |
| Gold (GLD) | 13.0% | 16.0% | 0.67 | 0.2% |
| Commodities (DBC) | 7.8% | 17.9% | 0.35 | -1.8% |
| Real Estate (VNQ) | 5.5% | 20.7% | 0.23 | 10.2% |
| Bitcoin (BTCUSD) | 66.7% | 66.9% | 1.06 | 17.9% |
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% | -16.4% |
| 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 | 5 |
| Median Positive | 9.9% | 8.3% | 7.7% |
| Median Negative | -9.6% | -12.7% | -29.2% |
| 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 |
|---|---|---|
| 03/31/2026 | 05/07/2026 | 10-Q |
| 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 | Read, Brian | Chief Financial Officer | Direct | Sell | 5042026 | 9.29 | 1,179 | 10,953 | 2,987,274 | Form |
| 2 | Read, Brian | Chief Financial Officer | Direct | Sell | 4092026 | 8.62 | 200 | 1,724 | 2,781,993 | Form |
| 3 | Parang, Touraj | President & COO | Direct | Sell | 4092026 | 8.62 | 3,861 | 33,282 | 11,312,405 | Form |
| 4 | Kashani, Ali | Chief Executive Officer | Direct | Sell | 4092026 | 8.62 | 14,541 | 125,343 | 28,621,615 | Form |
| 5 | Read, Brian | Chief Financial Officer | Direct | Sell | 4012026 | 8.03 | 1,263 | 10,142 | 2,593,184 | Form |
External Quote Links
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| SeekingAlpha | ValueLine |
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| CNBC | Etrade |
| MarketWatch | Unusual Whales |
| YCharts | Perplexity Finance |
| FinViz |
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