Outset Medical (OM) Total Liabilities (2019 - 2026)
Outset Medical's Total Liabilities came in at $146.05 million for Q2 2026, up 9.0% from $134.02 million a year earlier and up 6.0% from the prior quarter.
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Analysis
Outset Medical (OM) Total Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Outset Medical's Total Liabilities was $137.54 million, down 44.8% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $248.98 million in FY2024 (+30.4%), $190.92 million in FY2023 (+23.9%), $154.13 million in FY2022 (+72.4%) and $89.38 million in FY2021 (+18.8%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities since Q4 2024.
- Year-over-year, Total Liabilities increased in four of the last eight quarters, with an average decline of 10.2%.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2023 (growth of 79.5%), and the weakest in Q1 2025 (a decline of 48.1%).
- Business Quant data shows OM's Total Liabilities at $137.77 million (Q1 2026), $137.54 million (Q4 2025) and $134.89 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Outset Medical | 56.95 Mn | -986.03 Mn | 13.28 Mn | 146.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.05 Mn |
| Mar 31, 2026 | 137.77 Mn |
| Dec 31, 2025 | 137.54 Mn |
| Sep 30, 2025 | 134.89 Mn |
| Jun 30, 2025 | 134.02 Mn |
| Mar 31, 2025 | 131.34 Mn |
| Dec 31, 2024 | 248.98 Mn |
| Sep 30, 2024 | 245.07 Mn |
| Jun 30, 2024 | 245.94 Mn |
| Mar 31, 2024 | 253.04 Mn |
| Dec 31, 2023 | 190.92 Mn |
| Sep 30, 2023 | 155.49 Mn |
| Jun 30, 2023 | 151.33 Mn |
| Mar 31, 2023 | 146.38 Mn |
| Dec 31, 2022 | 154.13 Mn |
| Sep 30, 2022 | 86.62 Mn |
| Jun 30, 2022 | 91.47 Mn |
| Mar 31, 2022 | 86.29 Mn |
| Dec 31, 2021 | 89.38 Mn |
| Sep 30, 2021 | 79.05 Mn |
API Access
Outset Medical Total 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-liabilities&ticker=OM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=OM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();