Outset Medical (OM) Return on Sales [ROS] (2019 - 2026)
Outset Medical (OM) recorded Return on Sales [ROS] of -49.55% in Q2 2026, up 4.13 percentage points from -53.68% a year earlier and up 11.17 percentage points from the prior quarter.
Outset Medical (OM) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a TTM basis, Outset Medical's Return on Sales [ROS] came in at -56.06% as of Jun 30, 2026, up 10.13 percentage points year-over-year; for FY2025, it was -55.83%, up 43.89 percentage points from FY2024.
- Annual Return on Sales [ROS] has increased for three straight years, with a five-year change of +179.41 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -99.72% in FY2024 (+30.49 pp), -130.22% in FY2023 (+9.35 pp), -139.56% in FY2022 (-12.35 pp) and -127.21% in FY2021 (+108.03 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to Q3 2019.
- On a year-over-year basis, Return on Sales [ROS] rose in seven of the last eight quarters, with an average year-over-year change of +36.31 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 181.60 percentage points in Q3 2021, against a drop of 55.89 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -60.72% (Q1 2026), -61.05% (Q4 2025) and -53.73% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 17.40% |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 13.44% |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 17.99% |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 33.60% |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 18.08% |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 25.18% |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 21.65% |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 29.48% |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 13.31% |
| 10 | Outset Medical | 74.44 Mn | -968.54 Mn | 13.28 Mn | -49.55% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -49.55% |
| Mar 31, 2026 | -60.72% |
| Dec 31, 2025 | -61.05% |
| Sep 30, 2025 | -53.73% |
| Jun 30, 2025 | -53.68% |
| Mar 31, 2025 | -55.12% |
| Dec 31, 2024 | -74.18% |
| Sep 30, 2024 | -83.16% |
| Jun 30, 2024 | -112.33% |
| Mar 31, 2024 | -131.04% |
| Dec 31, 2023 | -122.44% |
| Sep 30, 2023 | -149.71% |
| Jun 30, 2023 | -120.64% |
| Mar 31, 2023 | -129.93% |
| Dec 31, 2022 | -124.42% |
| Sep 30, 2022 | -147.69% |
| Jun 30, 2022 | -174.49% |
| Mar 31, 2022 | -119.39% |
| Dec 31, 2021 | -144.92% |
| Sep 30, 2021 | -114.51% |
Outset Medical 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=OM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OM", "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=OM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();