Outset Medical (OM) Cost of Revenue (2019 - 2026)
Outset Medical (OM) posted Cost of Revenue of $18.35 million for Q2 2026, down 6.1% from $19.55 million a year earlier but up 16.4% from the prior quarter.
Outset Medical (OM) Cost of Revenue (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Outset Medical was $68.61 million, down 9.5% year-over-year; for FY2025, it was $72.72 million, down 3.2% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- In prior years, Outset Medical's Cost of Revenue was $75.13 million in FY2024 (-25.9%), $101.38 million in FY2023 (+3.9%), $97.54 million in FY2022 (+2.7%) and $94.99 million in FY2021 (+50.9%).
- Quarterly Cost of Revenue has run from a low of $15.77 million in Q1 2026 to a high of $28.34 million in Q2 2023 over five years.
- On a year-over-year basis, Cost of Revenue has declined in each of the last four quarters, with an average decline of 8.8% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2021, with growth of 47.5%; the weakest was Q2 2024, with a decline of 37.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $15.77 million (Q1 2026), $16.64 million (Q4 2025) and $17.84 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 7.11 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.33 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 2.65 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 931.90 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 2.09 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 1.59 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 392.40 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 2.67 Bn |
| 10 | Outset Medical | 74.44 Mn | -968.54 Mn | 13.28 Mn | 18.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.35 Mn |
| Mar 31, 2026 | 15.77 Mn |
| Dec 31, 2025 | 16.64 Mn |
| Sep 30, 2025 | 17.84 Mn |
| Jun 30, 2025 | 19.55 Mn |
| Mar 31, 2025 | 18.69 Mn |
| Dec 31, 2024 | 18.72 Mn |
| Sep 30, 2024 | 18.85 Mn |
| Jun 30, 2024 | 17.61 Mn |
| Mar 31, 2024 | 19.95 Mn |
| Dec 31, 2023 | 22.80 Mn |
| Sep 30, 2023 | 23.21 Mn |
| Jun 30, 2023 | 28.34 Mn |
| Mar 31, 2023 | 27.04 Mn |
| Dec 31, 2022 | 26.73 Mn |
| Sep 30, 2022 | 23.43 Mn |
| Jun 30, 2022 | 21.28 Mn |
| Mar 31, 2022 | 26.11 Mn |
| Dec 31, 2021 | 24.83 Mn |
| Sep 30, 2021 | 23.37 Mn |
Outset Medical Cost of Revenue 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=cost-of-revenue&ticker=OM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=OM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();