One Stop Systems (OSS) Total Liabilities (2017 - 2026)
One Stop Systems (OSS) posted Total Liabilities of $9.12 million for Q3 2026, down 45.5% from $16.72 million a year earlier and down 47.0% from the prior quarter.
One Stop Systems (OSS) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, One Stop Systems' Total Liabilities came in at $6.82 million, down 30.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -7.1% (FY2020 to FY2025).
- In prior years, One Stop Systems' Total Liabilities was $9.76 million in FY2024 (+12.4%), $8.68 million in FY2023 (-27.9%), $12.04 million in FY2022 (+25.0%) and $9.63 million in FY2021 (-2.1%).
- Quarterly Total Liabilities has run from a low of $5.83 million in Q1 2026 to a high of $17.21 million in Q2 2026 over five years.
- On a year-over-year basis, Total Liabilities increased in five of the last eight quarters, with an average decline of 2.4%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2026, with growth of 30.7%; the weakest was Q1 2026, with a decline of 47.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $17.21 million (Q2 2026), $5.83 million (Q1 2026) and $6.82 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 292.46 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 8.82 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 128.82 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 48.69 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 7.66 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 6.87 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 4.89 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 57.02 Bn |
| 10 | One Stop Systems | 107.97 Mn | -7.87 Mn | 5.36 Mn | 9.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 9.12 Mn |
| Jun 30, 2026 | 17.21 Mn |
| Mar 31, 2026 | 5.83 Mn |
| Dec 31, 2025 | 6.82 Mn |
| Sep 30, 2025 | 16.72 Mn |
| Jun 30, 2025 | 13.17 Mn |
| Mar 31, 2025 | 11.06 Mn |
| Dec 31, 2024 | 9.76 Mn |
| Sep 30, 2024 | 13.05 Mn |
| Jun 30, 2024 | 10.86 Mn |
| Mar 31, 2024 | 9.94 Mn |
| Dec 31, 2023 | 8.68 Mn |
| Sep 30, 2023 | 12.36 Mn |
| Jun 30, 2023 | 11.68 Mn |
| Mar 31, 2023 | 13.73 Mn |
| Dec 31, 2022 | 12.04 Mn |
| Sep 30, 2022 | 13.29 Mn |
| Jun 30, 2022 | 14.48 Mn |
| Mar 31, 2022 | 11.67 Mn |
| Dec 31, 2021 | 9.63 Mn |
One Stop Systems Total 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-liabilities&ticker=OSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "OSS", "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-liabilities&ticker=OSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();