Serve Robotics (SERV) Total Current Liabilities (2020 - 2026)
Serve Robotics (SERV) reported Total Current Liabilities of $19.27 million for Q2 2026, up 238.8% from $5.69 million a year earlier but down 2.3% from the prior quarter.
Serve Robotics (SERV) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Serve Robotics posted Total Current Liabilities of $13.3 million, up 95.4% from FY2024.
- Total Current Liabilities has increased for three consecutive years, with a five-year compound annual growth rate of 245.5% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $6.81 million in FY2024 (+9.1%), $6.24 million in FY2023 (+60.1%), $3.9 million in FY2022 and $72,460 in FY2021 (+168.4%).
- Five-year quarterly Total Current Liabilities spans a low of $69,460 in Q3 2021 and a high of $19.74 million in Q1 2026.
- Year over year, Total Current Liabilities has now increased in each of the last five quarters, with growth averaging 93.3% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q1 2026 (growth of 275.3%); the low point was Q1 2025 (a decline of 58.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $19.74 million (Q1 2026), $13.3 million (Q4 2025) and $12.76 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Aurora Innovation | 11.07 Bn | 6.10 Bn | -5.00 Mn | 110.00 Mn |
| 2 | Mobileye Global | 6.05 Bn | -61.98 Mn | 235.00 Mn | 452.00 Mn |
| 3 | Pony AI | 2.84 Bn | 2.91 Bn | 6.35 Mn | 77.58 Mn |
| 4 | WeRide | 1.82 Bn | -1.20 Bn | 12.76 Mn | 4.65 Mn |
| 5 | Securetech Innovations | 781.01 Mn | 780.42 Mn | - | 6.37 Mn |
| 6 | Serve Robotics | 402.21 Mn | 402.21 Mn | -8.78 Mn | 19.27 Mn |
| 7 | Kodiak AI | 372.81 Mn | -135.31 Mn | - | 28.28 Mn |
| 8 | Richtech Robotics | 354.53 Mn | 354.53 Mn | 802,000.00 | 3.68 Mn |
| 9 | ECARX Holdings | 326.03 Mn | -35.79 Mn | 44.50 Mn | 968.55 Mn |
| 10 | Palladyne AI | 253.58 Mn | 61.95 Mn | 1.68 Mn | 8.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 19.27 Mn |
| Mar 31, 2026 | 19.74 Mn |
| Dec 31, 2025 | 13.30 Mn |
| Sep 30, 2025 | 12.76 Mn |
| Jun 30, 2025 | 5.69 Mn |
| Mar 31, 2025 | 5.26 Mn |
| Dec 31, 2024 | 6.81 Mn |
| Sep 30, 2024 | 5.15 Mn |
| Jun 30, 2024 | 4.27 Mn |
| Mar 31, 2024 | 12.79 Mn |
| Dec 31, 2023 | 6.24 Mn |
| Sep 30, 2023 | 4.86 Mn |
| Jun 30, 2023 | 162,100.00 |
| Mar 31, 2023 | 147,391.00 |
| Dec 31, 2022 | 3.90 Mn |
| Sep 30, 2022 | 113,940.00 |
| Mar 31, 2022 | 80,940.00 |
| Dec 31, 2021 | 72,460.00 |
| Sep 30, 2021 | 69,460.00 |
| Jun 30, 2021 | 57,980.00 |
Serve Robotics Total Current Liabilities 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=total-current-liabilities&ticker=SERV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SERV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();