Opko Health (OPK) Price to Earnings (2010 - 2026)
Opko Health's (OPK) quarterly Price to Earnings came in at 133.02 in Q2 2026, down 1784.49% on a YoY basis from 7.9 in Q2 2025, and down 747.53% quarter-over-quarter from 15.69 in Q1 2026.
Opko Health (OPK) Price to Earnings (2010 - 2026) Analysis & Trends
Opko Health (OPK) has reported Price to Earnings for 17 consecutive years, with 133.02 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 1784.49% year-over-year to 133.02; the trailing twelve-month figure through Jun 2026 stood at 29.55 (down 698.85% YoY), and the FY2025 full-year result was 5.02, up 72.96% from the prior year.
- Price to Earnings retreated to 133.02 in Q2 2026 per OPK's latest filing, from 15.69 in the prior quarter.
- Across five years, Price to Earnings topped out at 255.8 in Q4 2025 and bottomed at 133.02 in Q2 2026.
- Historically, Price to Earnings has averaged 6.54 across 5 years, with a median of 15.69 in 2026.
- The sharpest annual moves came in 2024 and 2026: Price to Earnings surged 378.92% in 2024, then plunged 1784.49% in 2026.
- Over 5 years, Price to Earnings stood at 11.33 in 2022, then slumped by 39.68% to 15.83 in 2023, then jumped by 358.02% to 40.85 in 2024, then surged by 526.17% to 255.8 in 2025, then slumped by 152.0% to 133.02 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 133.02, 15.69, and 255.8 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 650.65 Bn | 629.89 Bn | 17.26 Bn |
| 2 | AbbVie | 466.34 Bn | 459.82 Bn | 12.70 Bn |
| 3 | Merck | 362.11 Bn | 355.02 Bn | 12.21 Bn |
| 4 | Novartis Ag | 267.81 Bn | 260.52 Bn | 11.24 Bn |
| 5 | Pfizer | 157.31 Bn | 145.91 Bn | 10.94 Bn |
| 6 | Bristol Myers Squibb | 128.75 Bn | 117.69 Bn | 9.25 Bn |
| 7 | Sanofi | 51.80 Bn | 44.84 Bn | 10.79 Bn |
| 8 | Revolution Medicines | 40.91 Bn | 40.91 Bn | - |
| 9 | BeOne Medicines | 39.65 Bn | 34.55 Bn | 1.53 Bn |
| 10 | Opko Health | 1.25 Bn | 945.61 Mn | 80.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -133.02 |
| Mar 31, 2026 | -15.69 |
| Dec 31, 2025 | 255.80 |
| Sep 30, 2025 | 55.00 |
| Jun 30, 2025 | -7.06 |
| Mar 31, 2025 | -19.47 |
| Sep 30, 2024 | 40.85 |
| Jun 30, 2024 | -9.46 |
| Mar 31, 2024 | -10.22 |
| Dec 31, 2023 | -15.83 |
| Sep 30, 2023 | -14.65 |
| Jun 30, 2023 | -85.60 |
| Mar 31, 2023 | -61.88 |
| Dec 31, 2022 | -11.33 |
| Sep 30, 2022 | -16.97 |
| Jun 30, 2022 | -19.26 |
| Mar 31, 2022 | -42.33 |
| Dec 31, 2021 | -44.71 |
| Sep 30, 2021 | 86.37 |
| Jun 30, 2021 | -171.15 |
Opko Health Price to Earnings 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=price-to-earnings&ticker=OPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();