Opko Health (OPK) Total Liabilities (2010 - 2026)
Opko Health's Total Liabilities came in at $645.29 million for Q2 2026, down 4.6% from $676.09 million a year earlier and down 1.1% from the prior quarter.
Powered by 
Analysis
Opko Health (OPK) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Opko Health's Total Liabilities was $663.99 million, down 20.5% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $834.76 million in FY2024 (+34.1%), $622.48 million in FY2023 (+2.8%), $605.61 million in FY2022 (-15.3%) and $714.59 million in FY2021 (-10.8%).
- The Q2 2026 figure represents the lowest quarterly Total Liabilities since Q2 2024.
- Year-over-year, Total Liabilities has declined for four consecutive quarters, with growth averaging 4.8% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q3 2024 (growth of 39.3%), and the weakest in Q4 2025 (a decline of 20.5%).
- Business Quant data shows OPK's Total Liabilities at $652.19 million (Q1 2026), $663.99 million (Q4 2025) and $690.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 108.40 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 116.09 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 141.05 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 87.82 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 80.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 65.46 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 83.95 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 37.53 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 115.64 Bn |
| 10 | Opko Health | 1.26 Bn | -169.39 Mn | 80.02 Mn | 645.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 645.29 Mn |
| Mar 31, 2026 | 652.19 Mn |
| Dec 31, 2025 | 663.99 Mn |
| Sep 30, 2025 | 690.02 Mn |
| Jun 30, 2025 | 676.09 Mn |
| Mar 31, 2025 | 816.66 Mn |
| Dec 31, 2024 | 834.76 Mn |
| Sep 30, 2024 | 852.69 Mn |
| Jun 30, 2024 | 584.55 Mn |
| Mar 31, 2024 | 721.21 Mn |
| Dec 31, 2023 | 622.48 Mn |
| Sep 30, 2023 | 612.11 Mn |
| Jun 30, 2023 | 623.55 Mn |
| Mar 31, 2023 | 617.86 Mn |
| Dec 31, 2022 | 605.61 Mn |
| Sep 30, 2022 | 595.72 Mn |
| Jun 30, 2022 | 650.80 Mn |
| Mar 31, 2022 | 691.98 Mn |
| Dec 31, 2021 | 714.59 Mn |
| Sep 30, 2021 | 652.07 Mn |
API Access
Opko Health Total 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-liabilities&ticker=OPK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();