Orchestra BioMed Holdings (OBIO) Total Non-Current Liabilities (2020 - 2026)
Orchestra BioMed Holdings (OBIO) recorded Total Non-Current Liabilities of $93.92 million in Q2 2026, up 121.8% from $42.34 million a year earlier and up 65.7% from the prior quarter.
Orchestra BioMed Holdings (OBIO) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Orchestra BioMed Holdings reported Total Non-Current Liabilities of $58.54 million, up 35.6% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of -17.6% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $43.18 million in FY2024, $40.95 million in FY2022 (-77.4%) and $180.97 million in FY2021 (+17.3%).
- The Q2 2026 figure is the highest quarterly Total Non-Current Liabilities since Q1 2022.
- On a year-over-year basis, Total Non-Current Liabilities has increased for three consecutive quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 121.8% in Q2 2026, against a decline of 99.0% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $56.68 million (Q1 2026), $58.54 million (Q4 2025) and $60.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Orchestra BioMed Holdings | 365.44 Mn | -31.16 Mn | 63,000.00 | 93.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 93.92 Mn |
| Mar 31, 2026 | 56.68 Mn |
| Dec 31, 2025 | 58.54 Mn |
| Sep 30, 2025 | 60.82 Mn |
| Jun 30, 2025 | 42.34 Mn |
| Mar 31, 2025 | 42.10 Mn |
| Dec 31, 2024 | 43.18 Mn |
| Sep 30, 2023 | 36.44 Mn |
| Jun 30, 2023 | 36.23 Mn |
| Mar 31, 2023 | 34.16 Mn |
| Dec 31, 2022 | 40.95 Mn |
| Sep 30, 2022 | 1.62 Mn |
| Mar 31, 2022 | 160.82 Mn |
| Dec 31, 2021 | 180.97 Mn |
| Sep 30, 2021 | 160.14 Mn |
| Jun 30, 2021 | 160.19 Mn |
| Mar 31, 2021 | 160.17 Mn |
| Dec 31, 2020 | 154.28 Mn |
Orchestra BioMed Holdings Total Non-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-non-current-liabilities&ticker=OBIO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=OBIO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();