Opko Health (OPK) Short-Term Debt repayments (2010 - 2026)
Opko Health (OPK) posted Short-Term Debt repayments of $8.57 million for Q3 2026, down 2.6% from $8.8 million a year earlier and down 13.0% from the prior quarter.
Opko Health (OPK) Short-Term Debt repayments (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Short-Term Debt repayments at Opko Health was $40.51 million, up 6.8% year-over-year; for FY2025, it was $41.41 million, down 91.3% from FY2024.
- Annual Short-Term Debt repayments has declined for four consecutive years, with a five-year compound annual growth rate of -48.5% (FY2020 to FY2025).
- In prior years, Opko Health's Short-Term Debt repayments was $475.06 million in FY2024 (-30.1%), $679.71 million in FY2023 (-34.4%), $1.04 billion in FY2022 (-38.9%) and $1.7 billion in FY2021 (+48.3%).
- The Q3 2026 figure stands as the lowest quarterly Short-Term Debt repayments since Q2 2022.
- On a year-over-year basis, Short-Term Debt repayments increased in 1 of the last eight quarters, with an average decline of 43.7%.
- The strongest year-over-year quarter for Short-Term Debt repayments in the past five years was Q1 2022, with growth of 245.5%; the weakest was Q1 2025, with a decline of 94.3%.
- According to Business Quant data, Short-Term Debt repayments for the three prior quarters was $9.85 million (Q2 2026), $8.88 million (Q1 2026) and $13.23 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 6.63 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | - |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | - |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Opko Health | 1.27 Bn | -393.40 Mn | 42.06 Mn | 8.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.57 Mn |
| Jun 30, 2026 | 9.85 Mn |
| Mar 31, 2026 | 8.88 Mn |
| Dec 31, 2025 | 13.23 Mn |
| Sep 30, 2025 | 8.80 Mn |
| Jun 30, 2025 | 9.84 Mn |
| Mar 31, 2025 | 9.55 Mn |
| Dec 31, 2024 | 9.76 Mn |
| Sep 30, 2024 | 141.05 Mn |
| Jun 30, 2024 | 156.02 Mn |
| Mar 31, 2024 | 168.24 Mn |
| Dec 31, 2023 | 160.11 Mn |
| Sep 30, 2023 | 171.39 Mn |
| Jun 30, 2023 | 172.80 Mn |
| Mar 31, 2023 | 175.41 Mn |
| Dec 31, 2022 | 155.74 Mn |
| Sep 30, 2022 | 200.17 Mn |
| Jun 30, 2022 | -977.33 Mn |
| Mar 31, 2022 | 1.66 Bn |
| Dec 31, 2021 | 357.44 Mn |
Opko Health Short-Term Debt repayments 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=short-term-debt-repayments&ticker=OPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();