Outset Medical (OM) Non-Current Assets (2019 - 2026)
Outset Medical (OM) posted Non-Current Assets of $14.54 million for Q2 2026, up 9.9% from $13.22 million a year earlier and up 14.0% from the prior quarter.
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Analysis
Outset Medical (OM) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, Outset Medical's Non-Current Assets came in at $13.61 million, down 22.5% from FY2024.
- Annual Non-Current Assets has declined for five consecutive years, with a five-year compound annual growth rate of -25.1% (FY2020 to FY2025).
- In prior years, Outset Medical's Non-Current Assets was $17.57 million in FY2024 (-22.2%), $22.58 million in FY2023 (-14.7%), $26.47 million in FY2022 (-50.7%) and $53.66 million in FY2021 (-7.3%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Assets since Q1 2025.
- On a year-over-year basis, Non-Current Assets increased in 1 of the last eight quarters, with an average decline of 21.0%.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q2 2026, with growth of 9.9%; the weakest was Q3 2023, with a decline of 57.3%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $12.75 million (Q1 2026), $13.61 million (Q4 2025) and $11.89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Outset Medical | 56.95 Mn | -986.03 Mn | 13.28 Mn | 14.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.54 Mn |
| Mar 31, 2026 | 12.75 Mn |
| Dec 31, 2025 | 13.61 Mn |
| Sep 30, 2025 | 11.89 Mn |
| Jun 30, 2025 | 13.22 Mn |
| Mar 31, 2025 | 14.65 Mn |
| Dec 31, 2024 | 17.57 Mn |
| Sep 30, 2024 | 17.62 Mn |
| Jun 30, 2024 | 19.40 Mn |
| Mar 31, 2024 | 20.85 Mn |
| Dec 31, 2023 | 22.58 Mn |
| Sep 30, 2023 | 23.78 Mn |
| Jun 30, 2023 | 25.04 Mn |
| Mar 31, 2023 | 25.39 Mn |
| Dec 31, 2022 | 26.47 Mn |
| Sep 30, 2022 | 55.72 Mn |
| Jun 30, 2022 | 55.46 Mn |
| Mar 31, 2022 | 54.32 Mn |
| Dec 31, 2021 | 53.66 Mn |
| Sep 30, 2021 | 55.50 Mn |
API Access
Outset Medical Non-Current Assets 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=non-current-assets&ticker=OM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=OM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();