Outset Medical (OM) Receivables (2019 - 2026)
Outset Medical (OM) recorded Receivables of $29.22 million in Q2 2026, down 16.2% from $34.89 million a year earlier but up 15.4% from the prior quarter.
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Analysis
Outset Medical (OM) Receivables (2019 - 2026) Analysis & Trends
At the end of FY2025, Outset Medical reported Receivables of $28.33 million, down 20.5% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 34.4% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $35.62 million in FY2024 (+8.0%), $32.98 million in FY2023 (+17.5%), $28.07 million in FY2022 (+9.6%) and $25.6 million in FY2021 (+295.8%).
- Quarterly Receivables has ranged from $19.3 million in Q3 2021 to $36.9 million in Q2 2023 over the past five years.
- On a year-over-year basis, Receivables has declined for four consecutive quarters, with an average decline of 8.0% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 295.8% in Q4 2021, against a decline of 31.4% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $25.32 million (Q1 2026), $28.33 million (Q4 2025) and $32.96 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 955.70 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 2.36 Bn |
| 10 | Outset Medical | 56.95 Mn | -986.03 Mn | 13.28 Mn | 29.22 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 29.22 Mn |
| Mar 31, 2026 | 25.32 Mn |
| Dec 31, 2025 | 28.33 Mn |
| Sep 30, 2025 | 32.96 Mn |
| Jun 30, 2025 | 34.89 Mn |
| Mar 31, 2025 | 36.89 Mn |
| Dec 31, 2024 | 35.62 Mn |
| Sep 30, 2024 | 34.26 Mn |
| Jun 30, 2024 | 34.12 Mn |
| Mar 31, 2024 | 36.48 Mn |
| Dec 31, 2023 | 32.98 Mn |
| Sep 30, 2023 | 35.49 Mn |
| Jun 30, 2023 | 36.90 Mn |
| Mar 31, 2023 | 34.31 Mn |
| Dec 31, 2022 | 28.07 Mn |
| Sep 30, 2022 | 22.51 Mn |
| Jun 30, 2022 | 24.63 Mn |
| Mar 31, 2022 | 26.90 Mn |
| Dec 31, 2021 | 25.60 Mn |
| Sep 30, 2021 | 19.30 Mn |
API Access
Outset Medical Receivables 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=receivables&ticker=OM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=OM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();