Serve Robotics (SERV) Return on Sales [ROS] (2022 - 2026)
Serve Robotics' Return on Sales [ROS] was -2040.30% in Q2 2026, up 1486.80 percentage points from -3527.10% a year earlier but down 304.98 percentage points from the prior quarter.
Serve Robotics (SERV) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Serve Robotics' Return on Sales [ROS] was -2476.77% through Jun 30, 2026, up 1555.12 percentage points year-over-year; for FY2025, it came in at -4253.83%, down 2141.91 percentage points from FY2024.
- Return on Sales [ROS] shows a three-year change of +15179.72 percentage points (FY2022 to FY2025).
- In earlier years, Return on Sales [ROS] was -2111.91% in FY2024 (+7875.13 pp), -9987.04% in FY2023 (+9446.50 pp) and -19433.54% in FY2022.
- Quarterly Return on Sales [ROS] has moved between -15973.64% (Q3 2022) and -814.55% (Q1 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of +1764.02 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 9687.32 percentage points); the worst was Q1 2025 (a drop of 2595.90 percentage points).
- Per Business Quant data, SERV's Return on Sales [ROS] in the three quarters before Q2 2026 was -1735.32% (Q1 2026), -4569.39% (Q4 2025) and -5067.83% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 9.53 Bn | 4.57 Bn | -5.00 Mn | -13,300.00% |
| 2 | Mobileye Global | 5.35 Bn | -761.37 Mn | 235.00 Mn | -5.91% |
| 3 | Pony AI | 1.95 Bn | 1.95 Bn | 6.35 Mn | -181.51% |
| 4 | WeRide | 1.29 Bn | -1.75 Bn | 12.76 Mn | -129.67% |
| 5 | NightFood Holdings | 781.99 Mn | 778.71 Mn | 1.61 Mn | -2,770.29% |
| 6 | Securetech Innovations | 341.67 Mn | 341.67 Mn | - | - |
| 7 | ECARX Holdings | 284.91 Mn | -7.70 Mn | 44.50 Mn | -2.75% |
| 8 | Richtech Robotics | 258.33 Mn | -1.02 Bn | 802,000.00 | -966.28% |
| 9 | Serve Robotics | 222.86 Mn | -643.92 Mn | -8.78 Mn | -2,040.30% |
| 10 | Kodiak AI | 190.99 Mn | -317.13 Mn | - | -1,248.27% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2,040.30% |
| Mar 31, 2026 | -1,735.32% |
| Dec 31, 2025 | -4,569.39% |
| Sep 30, 2025 | -5,067.83% |
| Jun 30, 2025 | -3,527.10% |
| Mar 31, 2025 | -3,410.45% |
| Dec 31, 2024 | -7,714.20% |
| Sep 30, 2024 | -3,804.05% |
| Jun 30, 2024 | -1,828.21% |
| Mar 31, 2024 | -814.55% |
| Dec 31, 2023 | -15,967.03% |
| Sep 30, 2023 | -8,915.19% |
| Jun 30, 2023 | -6,614.60% |
| Mar 31, 2023 | -10,501.87% |
| Dec 31, 2022 | -13,572.69% |
| Sep 30, 2022 | -15,973.64% |
Serve Robotics Return on Sales [ROS] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=SERV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SERV", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=SERV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();