Outset Medical (OM) Non-Current Debt (2019 - 2026)
Outset Medical (OM) posted Non-Current Debt of $97.65 million for Q2 2026, up 3.0% from $94.81 million a year earlier and up 0.7% from the prior quarter.
Powered by 
Analysis
Outset Medical (OM) Non-Current Debt (2019 - 2026) Analysis & Trends
At the end of FY2025, Outset Medical's Non-Current Debt came in at $96.24 million, down 51.2% from FY2024.
- Annual Non-Current Debt shows a five-year compound annual growth rate of 26.5% (FY2020 to FY2025).
- In prior years, Outset Medical's Non-Current Debt was $197.38 million in FY2024 (+51.7%), $130.11 million in FY2023 (+35.1%), $96.34 million in FY2022 (+223.7%) and $29.76 million in FY2021 (+0.3%).
- The Q2 2026 figure stands as the highest quarterly Non-Current Debt since Q4 2024.
- On a year-over-year basis, Non-Current Debt increased in four of the last eight quarters, with an average decline of 5.7%.
- The strongest year-over-year quarter for Non-Current Debt in the past five years was Q2 2023, with growth of 235.4%; the weakest was Q1 2025, with a decline of 52.2%.
- According to Business Quant data, Non-Current Debt for the three prior quarters was $96.94 million (Q1 2026), $96.24 million (Q4 2025) and $95.52 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 39.18 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 29.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 25.15 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 25.62 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 14.19 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 10.92 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 598.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 13.51 Bn |
| 10 | Outset Medical | 56.95 Mn | -986.03 Mn | 13.28 Mn | 97.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.65 Mn |
| Mar 31, 2026 | 96.94 Mn |
| Dec 31, 2025 | 96.24 Mn |
| Sep 30, 2025 | 95.52 Mn |
| Jun 30, 2025 | 94.81 Mn |
| Mar 31, 2025 | 94.12 Mn |
| Dec 31, 2024 | 197.38 Mn |
| Sep 30, 2024 | 197.18 Mn |
| Jun 30, 2024 | 196.99 Mn |
| Mar 31, 2024 | 196.81 Mn |
| Dec 31, 2023 | 130.11 Mn |
| Sep 30, 2023 | 96.78 Mn |
| Jun 30, 2023 | 96.63 Mn |
| Mar 31, 2023 | 96.48 Mn |
| Dec 31, 2022 | 96.34 Mn |
| Sep 30, 2022 | 29.83 Mn |
| Jun 30, 2022 | 28.81 Mn |
| Mar 31, 2022 | 29.78 Mn |
| Dec 31, 2021 | 29.76 Mn |
| Sep 30, 2021 | 29.74 Mn |
API Access
Outset Medical Non-Current Debt 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-debt&ticker=OM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-debt&ticker=OM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();