Pharming (PHAR) Exchange Rate Effect (2020 - 2026)
Pharming's Exchange Rate Effect was -$603,000 in Q2 2026, compared with $8 million a year earlier.
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Analysis
Pharming (PHAR) Exchange Rate Effect (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Pharming's Exchange Rate Effect was $6.43 million through Jun 30, 2026, up 3.3% year-over-year; for FY2025, it was $7.91 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of 30.0% (FY2020 to FY2025).
- In earlier years, Exchange Rate Effect was -$2.21 million in FY2024, $2.13 million in FY2023, -$7.38 million in FY2022 and -$1.83 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Exchange Rate Effect since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,170.90 Bn | 1,139.49 Bn | 19.71 Bn | -52.00 Mn |
| 2 | Johnson & Johnson | 643.26 Bn | 561.78 Bn | 17.26 Bn | 5.00 Mn |
| 3 | AbbVie | 501.85 Bn | 474.96 Bn | 12.70 Bn | -7.00 Mn |
| 4 | Merck | 370.72 Bn | 325.10 Bn | 12.21 Bn | -37.00 Mn |
| 5 | Novartis Ag | 302.56 Bn | 266.55 Bn | 11.24 Bn | -18.00 Mn |
| 6 | Astrazeneca | 268.35 Bn | 242.04 Bn | 12.86 Bn | 9.00 Mn |
| 7 | Amgen | 242.39 Bn | 197.79 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 193.22 Bn | 167.42 Bn | 6.22 Bn | -19.00 Mn |
| 9 | Pfizer | 172.25 Bn | 118.90 Bn | 10.94 Bn | -4.00 Mn |
| 10 | Pharming | 743.88 Mn | -50.49 Mn | 141.47 Mn | -603,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -603,000.00 |
| Dec 31, 2025 | 1.24 Mn |
| Jun 30, 2025 | 8.00 Mn |
| Dec 31, 2024 | -3.06 Mn |
| Sep 30, 2024 | 981,000.00 |
| Jun 30, 2024 | -14,000.00 |
| Dec 31, 2023 | 439,000.00 |
| Sep 30, 2023 | -913,000.00 |
| Dec 31, 2022 | 405,000.00 |
| Sep 30, 2022 | -11.66 Mn |
| Dec 31, 2021 | -650,000.00 |
| Sep 30, 2021 | 4.40 Mn |
| Dec 31, 2020 | -3.98 Mn |
| Sep 30, 2020 | -11.60 Mn |
API Access
Pharming 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=PHAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "PHAR", "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=PHAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();