Outset Medical (OM) Interest Expenses (2019 - 2026)
Outset Medical (OM) recorded Interest Expenses of $3.44 million in Q2 2026, down 0.9% from $3.48 million a year earlier but up 2.2% from the prior quarter.
Outset Medical (OM) Interest Expenses (2019 - 2026) Analysis & Trends
On a TTM basis, Outset Medical's Interest Expenses came in at $13.73 million as of Jun 30, 2026, down 27.5% year-over-year; for FY2025, it came in at $13.95 million, down 41.6% from FY2024.
- Annual Interest Expenses has a five-year compound annual growth rate of 37.0% (FY2020 to FY2025).
- Across earlier years, Interest Expenses came in at $23.87 million in FY2024 (+88.3%), $12.68 million in FY2023 (+255.4%), $3.57 million in FY2022 (+107.9%) and $1.72 million in FY2021 (-40.7%).
- Quarterly Interest Expenses has ranged from $422,000 in Q1 2022 to $6.07 million in Q3 2024 over the past five years.
- On a year-over-year basis, Interest Expenses has declined for six consecutive quarters, with an average decline of 1.6% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 597.2% in Q1 2023, against a decline of 42.7% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.37 million (Q1 2026), $3.44 million (Q4 2025) and $3.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Outset Medical | 56.95 Mn | -986.03 Mn | 13.28 Mn | 3.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.44 Mn |
| Mar 31, 2026 | 3.37 Mn |
| Dec 31, 2025 | 3.44 Mn |
| Sep 30, 2025 | 3.48 Mn |
| Jun 30, 2025 | 3.48 Mn |
| Mar 31, 2025 | 3.56 Mn |
| Dec 31, 2024 | 5.83 Mn |
| Sep 30, 2024 | 6.07 Mn |
| Jun 30, 2024 | 6.01 Mn |
| Mar 31, 2024 | 5.97 Mn |
| Dec 31, 2023 | 3.42 Mn |
| Sep 30, 2023 | 3.21 Mn |
| Jun 30, 2023 | 3.10 Mn |
| Mar 31, 2023 | 2.94 Mn |
| Dec 31, 2022 | 2.10 Mn |
| Sep 30, 2022 | 567,000.00 |
| Jun 30, 2022 | 481,000.00 |
| Mar 31, 2022 | 422,000.00 |
| Dec 31, 2021 | 431,000.00 |
| Sep 30, 2021 | 431,000.00 |
Outset Medical Interest 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=interest-expenses&ticker=OM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=OM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();