Ouster (OUST) Total Liabilities (2020 - 2026)
Ouster's Total Liabilities was $103.51 million in Q2 2026, up 2.7% from $100.81 million a year earlier but down 2.2% from the prior quarter.
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Analysis
Ouster (OUST) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Ouster came in at $87.78 million, down 7.8% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $95.24 million in FY2024 (-37.0%), $151.07 million in FY2023 (+78.7%), $84.52 million in FY2022 (+79.8%) and $47 million in FY2021 (-61.6%).
- Quarterly Total Liabilities has moved between $40.69 million (Q3 2021) and $151.07 million (Q4 2023) over five years.
- Compared with a year earlier, Total Liabilities was higher in three of the last eight quarters, with an average decline of 13.1%.
- The best year-over-year quarter for Total Liabilities over five years was Q1 2023 (growth of 202.3%); the worst was Q3 2021 (a decline of 81.9%).
- Per Business Quant data, OUST's Total Liabilities in the three quarters before Q2 2026 was $105.89 million (Q1 2026), $87.78 million (Q4 2025) and $106.33 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,087.13 Bn | 4,834.62 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 413.90 Bn | 349.82 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 289.90 Bn | 245.66 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 215.69 Bn | 169.14 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 184.10 Bn | 172.62 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Sony | 161.13 Bn | 100.89 Bn | 6.53 Bn | 44.91 Bn |
| 7 | Seagate Technology Holdings | 145.63 Bn | 140.62 Bn | 1.90 Bn | 7.81 Bn |
| 8 | Western Digital | 127.86 Bn | 115.99 Bn | 2.03 Bn | 5.00 Bn |
| 9 | Hewlett Packard Enterprise | 73.67 Bn | 51.55 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Ouster | 1.92 Bn | 1.03 Bn | 26.69 Mn | 103.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.51 Mn |
| Mar 31, 2026 | 105.89 Mn |
| Dec 31, 2025 | 87.78 Mn |
| Sep 30, 2025 | 106.33 Mn |
| Jun 30, 2025 | 100.81 Mn |
| Mar 31, 2025 | 100.64 Mn |
| Dec 31, 2024 | 95.24 Mn |
| Sep 30, 2024 | 83.48 Mn |
| Jun 30, 2024 | 139.27 Mn |
| Mar 31, 2024 | 150.45 Mn |
| Dec 31, 2023 | 151.07 Mn |
| Sep 30, 2023 | 127.78 Mn |
| Jun 30, 2023 | 136.79 Mn |
| Mar 31, 2023 | 141.26 Mn |
| Dec 31, 2022 | 84.52 Mn |
| Sep 30, 2022 | 60.98 Mn |
| Jun 30, 2022 | 59.58 Mn |
| Mar 31, 2022 | 46.73 Mn |
| Dec 31, 2021 | 47.00 Mn |
| Sep 30, 2021 | 40.69 Mn |
API Access
Ouster 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=OUST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "OUST", "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=OUST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();