Ouster (OUST) Operating Expenses (2020 - 2026)
Ouster (OUST) recorded Operating Expenses of $46.73 million in Q2 2026, up 9.5% from $42.66 million a year earlier and up 16.7% from the prior quarter.
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Analysis
Ouster (OUST) Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, Ouster's Operating Expenses came in at $164.24 million as of Jun 30, 2026, up 4.6% year-over-year; for FY2025, it was $157.44 million, up 8.8% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $144.64 million in FY2024 (-62.1%), $381.51 million in FY2023 (+144.0%), $156.35 million in FY2022 (+43.7%) and $108.8 million in FY2021 (+104.2%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q2 2023.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 5.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 380.5% in Q1 2023, against a decline of 81.2% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $40.05 million (Q1 2026), $36.55 million (Q4 2025) and $40.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Ouster | 2.80 Bn | 1.91 Bn | 26.69 Mn | 46.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 46.73 Mn |
| Mar 31, 2026 | 40.05 Mn |
| Dec 31, 2025 | 36.55 Mn |
| Sep 30, 2025 | 40.91 Mn |
| Jun 30, 2025 | 42.66 Mn |
| Mar 31, 2025 | 37.31 Mn |
| Dec 31, 2024 | 38.78 Mn |
| Sep 30, 2024 | 38.26 Mn |
| Jun 30, 2024 | 34.35 Mn |
| Mar 31, 2024 | 33.25 Mn |
| Dec 31, 2023 | 42.72 Mn |
| Sep 30, 2023 | 38.84 Mn |
| Jun 30, 2023 | 123.22 Mn |
| Mar 31, 2023 | 176.73 Mn |
| Dec 31, 2022 | 43.84 Mn |
| Sep 30, 2022 | 39.76 Mn |
| Jun 30, 2022 | 35.97 Mn |
| Mar 31, 2022 | 36.78 Mn |
| Dec 31, 2021 | 38.27 Mn |
| Sep 30, 2021 | 29.20 Mn |
API Access
Ouster Operating Expenses 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=operating-expenses&ticker=OUST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=OUST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();