Outset Medical (OM) Change in Accrued Expenses (2019 - 2026)
Outset Medical's Change in Accrued Expenses was $281,000 in Q3 2026, down 73.6% from $1.07 million a year earlier and down 78.8% from the prior quarter.
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Analysis
Outset Medical (OM) Change in Accrued Expenses (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, Outset Medical's Change in Accrued Expenses was $3.65 million through Sep 30, 2026; for FY2025, it was -$6.09 million.
- In earlier years, Change in Accrued Expenses was -$5.17 million in FY2024, -$2.62 million in FY2023, -$3.43 million in FY2022 and $8.1 million in FY2021 (-18.1%).
- Quarterly Change in Accrued Expenses has moved between -$11.47 million (Q1 2022) and $4.61 million (Q4 2021) over five years.
- Compared with a year earlier, Change in Accrued Expenses was higher in 1 of the last four quarters, with an average decline of 24.6%.
- The best year-over-year quarter for Change in Accrued Expenses over five years was Q2 2023 (growth of 31.3%); the worst was Q3 2026 (a decline of 73.6%).
- Per Business Quant data, OM's Change in Accrued Expenses in the three quarters before Q3 2026 was $1.32 million (Q2 2026), $2.17 million (Q1 2026) and -$120,000 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 255.00 Mn |
| 10 | Outset Medical | 79.64 Mn | -882.52 Mn | 13.67 Mn | 281,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 281,000.00 |
| Jun 30, 2026 | 1.32 Mn |
| Mar 31, 2026 | 2.17 Mn |
| Dec 31, 2025 | -120,000.00 |
| Sep 30, 2025 | 1.07 Mn |
| Jun 30, 2025 | 1.55 Mn |
| Mar 31, 2025 | -8.58 Mn |
| Dec 31, 2024 | 1.16 Mn |
| Sep 30, 2024 | 952,000.00 |
| Jun 30, 2024 | -2.82 Mn |
| Mar 31, 2024 | -4.46 Mn |
| Dec 31, 2023 | 1.49 Mn |
| Sep 30, 2023 | -50,000.00 |
| Jun 30, 2023 | 3.04 Mn |
| Mar 31, 2023 | -7.10 Mn |
| Dec 31, 2022 | 2.25 Mn |
| Sep 30, 2022 | 3.48 Mn |
| Jun 30, 2022 | 2.32 Mn |
| Mar 31, 2022 | -11.47 Mn |
| Dec 31, 2021 | 4.61 Mn |
API Access
Outset Medical Change in Accrued Expenses 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=change-in-accured-expenses&ticker=OM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=OM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();