Opko Health (OPK) Total Non-Current Liabilities (2010 - 2026)
Opko Health's Total Non-Current Liabilities came in at $495.92 million for Q2 2026, down 1.8% from $504.9 million a year earlier and down 1.6% from the prior quarter.
Opko Health (OPK) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Opko Health's Total Non-Current Liabilities was $517.31 million, down 19.4% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $641.67 million in FY2024 (+51.9%), $422.43 million in FY2023 (+7.7%), $392.13 million in FY2022 (+2.0%) and $384.58 million in FY2021 (-9.7%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities since Q2 2024.
- Year-over-year, Total Non-Current Liabilities has declined for four consecutive quarters, with growth averaging 12.9% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2024 (growth of 55.8%), and the weakest in Q4 2025 (a decline of 19.4%).
- Business Quant data shows OPK's Total Non-Current Liabilities at $503.8 million (Q1 2026), $517.31 million (Q4 2025) and $520.7 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.36 Bn | 1,105.95 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 617.62 Bn | 536.15 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 501.17 Bn | 474.28 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 368.13 Bn | 322.51 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 261.23 Bn | 234.92 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 236.68 Bn | 192.08 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 190.97 Bn | 165.17 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 169.72 Bn | 116.36 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Opko Health | 1.23 Bn | -192.05 Mn | 80.02 Mn | 495.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 495.92 Mn |
| Mar 31, 2026 | 503.80 Mn |
| Dec 31, 2025 | 517.31 Mn |
| Sep 30, 2025 | 520.70 Mn |
| Jun 30, 2025 | 504.90 Mn |
| Mar 31, 2025 | 520.81 Mn |
| Dec 31, 2024 | 641.67 Mn |
| Sep 30, 2024 | 641.03 Mn |
| Jun 30, 2024 | 365.00 Mn |
| Mar 31, 2024 | 516.87 Mn |
| Dec 31, 2023 | 422.43 Mn |
| Sep 30, 2023 | 411.56 Mn |
| Jun 30, 2023 | 397.10 Mn |
| Mar 31, 2023 | 395.44 Mn |
| Dec 31, 2022 | 392.13 Mn |
| Sep 30, 2022 | 328.45 Mn |
| Jun 30, 2022 | 435.33 Mn |
| Mar 31, 2022 | 382.80 Mn |
| Dec 31, 2021 | 384.58 Mn |
| Sep 30, 2021 | 369.04 Mn |
Opko Health 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=OPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "OPK", "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=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();