Ouster (OUST) Return on Sales [ROS] (2020 - 2026)
Ouster's Return on Sales [ROS] came in at -36.69% for Q2 2026, up 39.83 percentage points from -76.53% a year earlier and up 2.85 percentage points from the prior quarter.
Ouster (OUST) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Ouster reported Return on Sales [ROS] of -30.55%, up 51.89 percentage points year-over-year; for FY2025, it was -43.69%, up 50.08 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +230.13 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -93.77% in FY2024 (+354.35 pp), -448.12% in FY2023 (-93.68 pp), -354.44% in FY2022 (-57.49 pp) and -296.95% in FY2021 (-23.14 pp).
- The five-year range for quarterly Return on Sales [ROS] is -1027.87% (Q1 2023) to 1.45% (Q4 2025).
- Year-over-year, Return on Sales [ROS] has increased for 12 consecutive quarters, with an average year-over-year change of +46.31 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q1 2024 (a gain of 928.34 percentage points), and the weakest in Q1 2023 (a drop of 628.38 percentage points).
- Business Quant data shows OUST's Return on Sales [ROS] at -39.55% (Q1 2026), 1.45% (Q4 2025) and -61.36% (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,088.02 Bn | 4,835.51 Bn | 54.77 Bn | 32.62% |
| 2 | Cisco Systems | 416.69 Bn | 352.61 Bn | 11.06 Bn | 24.72% |
| 3 | Dell Technologies | 293.99 Bn | 249.74 Bn | 9.83 Bn | 11.46% |
| 4 | Arista Networks | 218.13 Bn | 171.58 Bn | 1.91 Bn | 45.39% |
| 5 | Sandisk | 188.43 Bn | 176.95 Bn | 7.58 Bn | 78.49% |
| 6 | Sony | 155.32 Bn | 92.58 Bn | 6.53 Bn | 16.79% |
| 7 | Seagate Technology Holdings | 141.00 Bn | 135.99 Bn | 1.90 Bn | 42.96% |
| 8 | Western Digital | 122.25 Bn | 110.38 Bn | 2.03 Bn | 41.71% |
| 9 | Hewlett Packard Enterprise | 75.22 Bn | 53.09 Bn | 4.93 Bn | 11.41% |
| 10 | Ouster | 1.87 Bn | 985.51 Mn | 26.69 Mn | -36.69% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -36.69% |
| Mar 31, 2026 | -39.55% |
| Dec 31, 2025 | 1.45% |
| Sep 30, 2025 | -61.36% |
| Jun 30, 2025 | -76.53% |
| Mar 31, 2025 | -73.03% |
| Dec 31, 2024 | -85.07% |
| Sep 30, 2024 | -97.98% |
| Jun 30, 2024 | -93.55% |
| Mar 31, 2024 | -99.53% |
| Dec 31, 2023 | -152.65% |
| Sep 30, 2023 | -160.93% |
| Jun 30, 2023 | -634.33% |
| Mar 31, 2023 | -1,027.87% |
| Dec 31, 2022 | -383.99% |
| Sep 30, 2022 | -321.72% |
| Jun 30, 2022 | -321.32% |
| Mar 31, 2022 | -399.49% |
| Dec 31, 2021 | -292.73% |
| Sep 30, 2021 | -352.34% |
Ouster Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=OUST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=OUST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();