Outset Medical (OM) Total Current Liabilities (2019 - 2026)
Outset Medical's Total Current Liabilities was $43.89 million in Q2 2026, up 18.9% from $36.91 million a year earlier and up 16.7% from the prior quarter.
Outset Medical (OM) Total Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Total Current Liabilities at Outset Medical came in at $37.63 million, down 17.1% from FY2024.
- Total Current Liabilities shows a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- In earlier years, Total Current Liabilities was $45.38 million in FY2024 (-18.0%), $55.32 million in FY2023 (+6.5%), $51.95 million in FY2022 (+0.5%) and $51.7 million in FY2021 (+40.9%).
- The Q2 2026 figure marks the highest quarterly Total Current Liabilities since Q4 2024.
- Compared with a year earlier, Total Current Liabilities was higher in two of the last eight quarters, with an average decline of 10.7%.
- The best year-over-year quarter for Total Current Liabilities over five years was Q2 2022 (growth of 55.9%); the worst was Q1 2025 (a decline of 32.5%).
- Per Business Quant data, OM's Total Current Liabilities in the three quarters before Q2 2026 was $37.61 million (Q1 2026), $37.63 million (Q4 2025) and $37.45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 15.07 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 17.81 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 8.11 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.92 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 11.80 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 6.68 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 6.43 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 1.51 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 9.40 Bn |
| 10 | Outset Medical | 56.95 Mn | -986.03 Mn | 13.28 Mn | 43.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 43.89 Mn |
| Mar 31, 2026 | 37.61 Mn |
| Dec 31, 2025 | 37.63 Mn |
| Sep 30, 2025 | 37.45 Mn |
| Jun 30, 2025 | 36.91 Mn |
| Mar 31, 2025 | 34.22 Mn |
| Dec 31, 2024 | 45.38 Mn |
| Sep 30, 2024 | 42.43 Mn |
| Jun 30, 2024 | 43.43 Mn |
| Mar 31, 2024 | 50.67 Mn |
| Dec 31, 2023 | 55.32 Mn |
| Sep 30, 2023 | 53.02 Mn |
| Jun 30, 2023 | 48.82 Mn |
| Mar 31, 2023 | 44.27 Mn |
| Dec 31, 2022 | 51.95 Mn |
| Sep 30, 2022 | 49.64 Mn |
| Jun 30, 2022 | 55.24 Mn |
| Mar 31, 2022 | 48.89 Mn |
| Dec 31, 2021 | 51.70 Mn |
| Sep 30, 2021 | 41.41 Mn |
Outset Medical Total 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-current-liabilities&ticker=OM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=OM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();