Orchestra BioMed Holdings (OBIO) Operating Expenses (2021 - 2026)
Orchestra BioMed Holdings (OBIO) recorded Operating Expenses of $22.44 million in Q2 2026, up 11.3% from $20.16 million a year earlier and up 1.2% from the prior quarter.
Powered by 
Analysis
Orchestra BioMed Holdings (OBIO) Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Orchestra BioMed Holdings' Operating Expenses came in at $89.97 million as of Jun 30, 2026, up 21.2% year-over-year; for FY2025, it was $85.29 million, up 27.4% from FY2024.
- Annual Operating Expenses has increased for three straight years, with a five-year compound annual growth rate of 242.9% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $66.94 million in FY2024 (+23.4%), $54.27 million in FY2023 (+49.9%), $36.19 million in FY2022 and $274,756 in FY2021 (+52.7%).
- Quarterly Operating Expenses has ranged from $62,045 in Q4 2021 to $24.16 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for 14 consecutive quarters, with growth averaging 22.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 11.3% (Q2 2026) to 112.0% (Q1 2023).
- Per Business Quant, the preceding three quarters came in at $22.19 million (Q1 2026), $24.16 million (Q4 2025) and $21.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Orchestra BioMed Holdings | 365.44 Mn | -31.16 Mn | 63,000.00 | 22.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.44 Mn |
| Mar 31, 2026 | 22.19 Mn |
| Dec 31, 2025 | 24.16 Mn |
| Sep 30, 2025 | 21.17 Mn |
| Jun 30, 2025 | 20.16 Mn |
| Mar 31, 2025 | 19.79 Mn |
| Dec 31, 2024 | 16.93 Mn |
| Sep 30, 2024 | 17.33 Mn |
| Jun 30, 2024 | 17.64 Mn |
| Mar 31, 2024 | 15.04 Mn |
| Dec 31, 2023 | 12.74 Mn |
| Sep 30, 2023 | 14.94 Mn |
| Jun 30, 2023 | 13.87 Mn |
| Mar 31, 2023 | 12.71 Mn |
| Dec 31, 2022 | 10.93 Mn |
| Sep 30, 2022 | 11.23 Mn |
| Jun 30, 2022 | 8.04 Mn |
| Mar 31, 2022 | 5.99 Mn |
| Dec 31, 2021 | 62,045.00 |
| Sep 30, 2021 | 64,445.00 |
API Access
Orchestra BioMed Holdings Operating 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=operating-expenses&ticker=OBIO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OBIO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=OBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();