Outset Medical (OM) Net Long-Term Debt Issued (Repaid) (2019 - 2026)
Outset Medical's Net Long-Term Debt Issued (Repaid) was -$139,000 in Q3 2026.
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Analysis
Outset Medical (OM) Net Long-Term Debt Issued (Repaid) (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Outset Medical's Net Long-Term Debt Issued (Repaid) was -$232,000 through Sep 30, 2026; for FY2025, it came in at $98.27 million, up 47.7% from FY2024.
- Net Long-Term Debt Issued (Repaid) shows a five-year compound annual growth rate of 27.1% (FY2020 to FY2025).
- In earlier years, Net Long-Term Debt Issued (Repaid) was $66.52 million in FY2024 (+100.2%), $33.23 million in FY2023 (-65.4%) and $96.06 million in FY2022.
- The Q3 2026 figure marks the lowest quarterly Net Long-Term Debt Issued (Repaid) in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | -1.11 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | -1.33 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | - |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | - |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | - |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | - |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | - |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | - |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | -7.00 Mn |
| 10 | Outset Medical | 79.64 Mn | -882.52 Mn | 13.67 Mn | -139,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -139,000.00 |
| Jun 30, 2026 | -88,000.00 |
| Mar 31, 2026 | -5,000.00 |
| Mar 31, 2025 | 98.27 Mn |
| Mar 31, 2024 | 66.52 Mn |
| Dec 31, 2023 | 33.23 Mn |
| Dec 31, 2020 | -1,000.00 |
| Sep 30, 2020 | -3,000.00 |
| Jun 30, 2020 | -2,000.00 |
| Mar 31, 2020 | -3,000.00 |
| Dec 31, 2019 | -3,000.00 |
API Access
Outset Medical Net Long-Term Debt Issued (Repaid) 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();