Opko Health (OPK) Exchange Rate Effect (2010 - 2026)
Opko Health's (OPK) quarterly Exchange Rate Effect came in at -$145000.0 in Q2 2026, down 109.92% on a YoY basis from $1.5 million in Q2 2025, and up 84.03% quarter-over-quarter from -$908000.0 in Q1 2026.
Opko Health (OPK) Exchange Rate Effect (2010 - 2026) Analysis & Trends
Opko Health (OPK) has reported Exchange Rate Effect for 17 consecutive years, with -$145000.0 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Exchange Rate Effect fell 109.92% year-over-year to -$145000.0; the trailing twelve-month figure through Jun 2026 stood at -$1.2 million (down 120.87% YoY), and the FY2025 full-year result was $3.4 million, up 208.62% from the prior year.
- Exchange Rate Effect grew to -$145000.0 in Q2 2026 per OPK's latest filing, from -$908000.0 in the prior quarter.
- Across five years, Exchange Rate Effect topped out at $2.4 million in Q3 2024 and bottomed at -$1.1 million in Q3 2022.
- Historically, Exchange Rate Effect has averaged $216764.7 across 5 years, with a median of -$145000.0 in 2026.
- The sharpest annual moves came in 2022 and 2025: Exchange Rate Effect plunged 492.61% in 2022, then surged 696.33% in 2025.
- Over 5 years, Exchange Rate Effect stood at $1.7 million in 2022, then sank by 57.5% to $723000.0 in 2023, then jumped by 231.81% to $2.4 million in 2024, then slumped by 92.75% to $174000.0 in 2025, then sank by 183.33% to -$145000.0 in 2026.
- According to Business Quant data, Exchange Rate Effect over the past three periods registered -$145000.0, -$908000.0, and $174000.0 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 650.65 Bn | 629.89 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 466.34 Bn | 459.82 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 362.11 Bn | 355.02 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 267.81 Bn | 260.52 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Pfizer | 157.31 Bn | 145.91 Bn | 10.94 Bn | -4.00 Mn |
| 6 | Bristol Myers Squibb | 128.75 Bn | 117.69 Bn | 9.25 Bn | -10.00 Mn |
| 7 | Sanofi | 51.80 Bn | 44.84 Bn | 10.79 Bn | 11.62 Mn |
| 8 | Revolution Medicines | 40.91 Bn | 40.91 Bn | - | - |
| 9 | BeOne Medicines | 39.65 Bn | 34.55 Bn | 1.53 Bn | 19.84 Mn |
| 10 | Opko Health | 1.25 Bn | 945.61 Mn | 80.02 Mn | -145,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -145,000.00 |
| Mar 31, 2026 | -908,000.00 |
| Dec 31, 2025 | 174,000.00 |
| Sep 30, 2025 | -316,000.00 |
| Jun 30, 2025 | 1.46 Mn |
| Mar 31, 2025 | 2.11 Mn |
| Sep 30, 2024 | 2.40 Mn |
| Jun 30, 2024 | -245,000.00 |
| Mar 31, 2024 | -894,000.00 |
| Dec 31, 2023 | 723,000.00 |
| Sep 30, 2023 | -1.13 Mn |
| Jun 30, 2023 | -328,000.00 |
| Mar 31, 2023 | 1.12 Mn |
| Dec 31, 2022 | 1.70 Mn |
| Sep 30, 2022 | -1.15 Mn |
| Jun 30, 2022 | -1.12 Mn |
| Mar 31, 2022 | 221,000.00 |
| Dec 31, 2021 | -1.27 Mn |
| Jun 30, 2021 | 284,000.00 |
| Mar 31, 2021 | -447,000.00 |
Opko Health Exchange Rate Effect 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=exchange-rate-effect&ticker=OPK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=OPK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();