Innate Pharma (IPHA) Exchange Rate Effect (2019 - 2024)
Innate Pharma (IPHA) posted Exchange Rate Effect of $1.23 million for the year ended Dec 31, 2025, compared with -$546,581 a year earlier.
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Analysis
Innate Pharma (IPHA) Exchange Rate Effect (2019 - 2024) Analysis & Trends
Since the year ended Dec 31, 2017, Innate Pharma has reported Exchange Rate Effect for 9 years.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 37.6% (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 stands as the highest annual Exchange Rate Effect in data going back to the year ended Dec 31, 2017.
- Business Quant data shows IPHA's Exchange Rate Effect at -$546,581 in the year ended Dec 31, 2024, $296,391 in the year ended Dec 31, 2023, -$451,093 in the year ended Dec 31, 2022 and -$552,538 in the year ended Dec 31, 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 9.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -19.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -4.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | -3.70 Mn |
| 10 | Innate Pharma | 159.32 Mn | 159.32 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -539,640.68 |
| Jun 30, 2024 | -276,760.11 |
| Dec 31, 2022 | -436,665.87 |
| Jun 30, 2022 | -714,927.98 |
| Dec 31, 2021 | -552,537.97 |
| Jun 30, 2021 | -214,360.32 |
| Jun 30, 2020 | -14,318.98 |
| Jun 30, 2019 | -3,370.92 |
API Access
Innate Pharma 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=IPHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "IPHA", "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=IPHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();