Outset Medical (OM) Cost of Revenue (2019 - 2026)
Outset Medical (OM) posted Cost of Revenue of $19.93 million for Q3 2026, up 11.7% from $17.84 million a year earlier and up 8.6% from the prior quarter.
Outset Medical (OM) Cost of Revenue (2019 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Cost of Revenue at Outset Medical was $70.69 million, down 5.5% 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%).
- The Q3 2026 figure stands as the highest quarterly Cost of Revenue since Q1 2024.
- On a year-over-year basis, Cost of Revenue increased in two of the last eight quarters, with an average decline of 5.0%.
- 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 $18.35 million (Q2 2026), $15.77 million (Q1 2026) and $16.64 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 7.01 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 5.63 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 2.72 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 964.40 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 3.42 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 2.27 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 1.71 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 369.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 5.93 Bn |
| 10 | Outset Medical | 79.64 Mn | -882.52 Mn | 13.67 Mn | 19.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 19.93 Mn |
| 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 |
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();