Opko Health (OPK) Receivables (2010 - 2026)
Opko Health (OPK) recorded Receivables of $81.89 million in Q2 2026, down 17.6% from $99.38 million a year earlier but up 2.8% from the prior quarter.
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Analysis
Opko Health (OPK) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Opko Health reported Receivables of $90.26 million, down 23.5% from FY2024.
- Annual Receivables has declined for five straight years, with a five-year compound annual growth rate of -20.6% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $118.02 million in FY2024 (-4.3%), $123.38 million in FY2023 (-3.1%), $127.31 million in FY2022 (-51.0%) and $259.64 million in FY2021 (-9.3%).
- Quarterly Receivables has ranged from $79.64 million in Q1 2026 to $259.64 million in Q4 2021 over the past five years.
- On a year-over-year basis, Receivables has declined for 12 consecutive quarters, with an average decline of 12.8% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 33.2% in Q2 2023, against a decline of 51.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $79.64 million (Q1 2026), $90.26 million (Q4 2025) and $94.58 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 23.48 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 19.05 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 13.82 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.56 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 9.64 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 15.68 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 10.23 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 5.06 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 12.49 Bn |
| 10 | Opko Health | 1.21 Bn | -214.71 Mn | 80.02 Mn | 81.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 81.89 Mn |
| Mar 31, 2026 | 79.64 Mn |
| Dec 31, 2025 | 90.26 Mn |
| Sep 30, 2025 | 94.58 Mn |
| Jun 30, 2025 | 99.38 Mn |
| Mar 31, 2025 | 96.15 Mn |
| Dec 31, 2024 | 118.02 Mn |
| Sep 30, 2024 | 106.58 Mn |
| Jun 30, 2024 | 105.31 Mn |
| Mar 31, 2024 | 111.37 Mn |
| Dec 31, 2023 | 123.38 Mn |
| Sep 30, 2023 | 117.45 Mn |
| Jun 30, 2023 | 210.98 Mn |
| Mar 31, 2023 | 121.49 Mn |
| Dec 31, 2022 | 127.31 Mn |
| Sep 30, 2022 | 123.19 Mn |
| Jun 30, 2022 | 158.43 Mn |
| Mar 31, 2022 | 212.76 Mn |
| Dec 31, 2021 | 259.64 Mn |
| Sep 30, 2021 | 255.19 Mn |
API Access
Opko Health Receivables 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=receivables&ticker=OPK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();