Outset Medical (OM) Total Non-Current Liabilities (2019 - 2026)
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Analysis
Outset Medical (OM) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 54.88 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 33.44 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 2.53 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 20.68 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 17.15 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 2.26 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 17.66 Bn |
| 10 | Outset Medical | 79.64 Mn | -882.52 Mn | 13.67 Mn | 137.13 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 137.13 Mn |
| Jun 30, 2026 | 136.98 Mn |
| Mar 31, 2026 | 129.01 Mn |
| Dec 31, 2025 | 126.81 Mn |
| Sep 30, 2025 | 124.04 Mn |
| Jun 30, 2025 | 124.23 Mn |
| Mar 31, 2025 | 123.10 Mn |
| Dec 31, 2024 | 232.16 Mn |
| Sep 30, 2024 | 230.35 Mn |
| Jun 30, 2024 | 234.50 Mn |
| Mar 31, 2024 | 238.79 Mn |
| Dec 31, 2023 | 171.91 Mn |
| Sep 30, 2023 | 133.94 Mn |
| Jun 30, 2023 | 133.87 Mn |
| Mar 31, 2023 | 131.96 Mn |
| Dec 31, 2022 | 132.61 Mn |
| Sep 30, 2022 | 67.35 Mn |
| Jun 30, 2022 | 75.68 Mn |
| Mar 31, 2022 | 72.81 Mn |
| Dec 31, 2021 | 64.44 Mn |
API Access
Outset Medical Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=OM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=OM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();