Takeda Pharmaceutical (TAK) Exchange Rate Effect (2018 - 2024)
Takeda Pharmaceutical (TAK) posted Exchange Rate Effect of $229 million for the year ended Mar 31, 2026, compared with -$74.74 million a year earlier.
Takeda Pharmaceutical (TAK) Exchange Rate Effect (2018 - 2024) Analysis & Trends
Since the year ended Dec 31, 2016, Takeda Pharmaceutical has reported Exchange Rate Effect for 11 years.
- Annual Exchange Rate Effect shows a five-year compound annual growth rate of 14.2% (years ended Mar 2021 to Mar 2026).
- The figure for the year ended Mar 31, 2026 stands as the highest annual Exchange Rate Effect since the year ended Mar 31, 2022.
- Business Quant data shows TAK's Exchange Rate Effect at -$74.74 million in the year ended Mar 31, 2025, $181.7 million in the year ended Mar 31, 2024 (+7.1%), $169.73 million in the year ended Mar 31, 2023 (-33.7%) and $256.15 million in the year ended Mar 31, 2022 (+117.2%).
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 | Takeda Pharmaceutical | 2.74 Bn | -23.77 Bn | 5.10 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 71.26 Mn |
| Dec 31, 2023 | -21.07 Mn |
| Sep 30, 2023 | 27.70 Mn |
| Jun 30, 2023 | 107.70 Mn |
| Mar 31, 2023 | -1.60 Mn |
| Dec 31, 2022 | -67.80 Mn |
| Sep 30, 2022 | 74.11 Mn |
| Jun 30, 2022 | 173.86 Mn |
| Mar 31, 2022 | 193.61 Mn |
| Jun 30, 2021 | 30.36 Mn |
| Mar 31, 2021 | 229.56 Mn |
| Jun 30, 2020 | -14.74 Mn |
| Mar 31, 2020 | -96.44 Mn |
| Sep 30, 2019 | 124.88 Mn |
| Jun 30, 2019 | -95.15 Mn |
| Mar 31, 2019 | -95.37 Mn |
| Dec 31, 2018 | -85.32 Mn |
| Sep 30, 2018 | 36.68 Mn |
| Jun 30, 2018 | -4.56 Mn |
| Mar 31, 2018 | -124.92 Mn |
Takeda Pharmaceutical 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=TAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "TAK", "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=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();