Takeda Pharmaceutical (TAK) EBT (2017 - 2026)
Takeda Pharmaceutical (TAK) recorded EBT of $1.02 billion in the quarter ended Jun 30, 2026, down 1.9% from $1.04 billion a year earlier and down 1.6% from the prior quarter.
Takeda Pharmaceutical (TAK) EBT (2017 - 2026) Analysis & Trends
On a TTM basis, Takeda Pharmaceutical's EBT came in at $1.22 billion as of Jun 30, 2026, down 61.9% year-over-year; for the year ended Mar 31, 2026, it was -$945.69 million.
- Across earlier years, EBT came in at $1.15 billion in the year ended Mar 31, 2025 (+214.0%), $366.06 million in the year ended Mar 31, 2024 (-86.8%), $2.78 billion in the year ended Mar 31, 2023 (+3.0%) and $2.69 billion in the year ended Mar 31, 2022 (-22.0%).
- Quarterly EBT has ranged from -$2.96 billion in the quarter ended Dec 31, 2025 to $2.27 billion in the quarter ended Sep 30, 2023 over the past five years.
- On a year-over-year basis, EBT rose in four of the last six quarters, with growth averaging 4.1%.
- Peak year-over-year performance for EBT in the last five years was growth of 384.8% in the quarter ended Sep 30, 2023, against a decline of 57.3% in the quarter ended Dec 31, 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.04 billion (quarter ended Mar 31, 2026), -$2.96 billion (quarter ended Dec 31, 2025) and $2.12 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 6.75 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 4.28 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -683.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 4.27 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 2.80 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 2.77 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -10.25 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -653.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.39 Bn |
| 10 | Takeda Pharmaceutical | 2.74 Bn | -23.77 Bn | 5.10 Bn | 1.02 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 Bn |
| Mar 31, 2026 | 1.04 Bn |
| Dec 31, 2025 | -2.96 Bn |
| Sep 30, 2025 | 2.12 Bn |
| Jun 30, 2025 | 1.04 Bn |
| Mar 31, 2025 | 987.12 Mn |
| Dec 31, 2024 | -705.80 Mn |
| Sep 30, 2024 | 1.89 Bn |
| Jun 30, 2024 | 877.53 Mn |
| Mar 31, 2024 | 921.75 Mn |
| Dec 31, 2023 | 324.05 Mn |
| Sep 30, 2023 | 2.27 Bn |
| Jun 30, 2023 | 985.33 Mn |
| Mar 31, 2023 | 1.18 Bn |
| Dec 31, 2022 | 758.46 Mn |
| Sep 30, 2022 | 467.37 Mn |
| Jun 30, 2022 | 1.20 Bn |
| Mar 31, 2022 | 1.92 Bn |
| Jun 30, 2021 | 2.04 Bn |
| Mar 31, 2021 | 2.11 Bn |
Takeda Pharmaceutical EBT 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=ebt&ticker=TAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();