One Stop Systems (OSS) Total Liabilities (2017 - 2026)
One Stop Systems (OSS) posted Total Liabilities of $17.21 million for Q2 2026, up 30.7% from $13.17 million a year earlier and up 195.0% from the prior quarter.
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Analysis
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%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2017.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 4.0%.
- 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 $5.83 million (Q1 2026), $6.82 million (Q4 2025) and $16.72 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 57.02 Bn |
| 10 | One Stop Systems | 222.22 Mn | 118.75 Mn | 3.65 Mn | 17.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 11.60 Mn |
API Access
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_KEYimport 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();