Takeda Pharmaceutical (TAK) EPS (Diluted) (2017 - 2026)
Takeda Pharmaceutical (TAK) reported EPS (Diluted) of $4.96 for the quarter ended Jun 30, 2026, down 15.7% from $5.88 a year earlier and down 10.4% from the prior quarter.
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Analysis
Takeda Pharmaceutical (TAK) EPS (Diluted) (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Takeda Pharmaceutical's EPS (Diluted) came in at $25.45, up 14.4% year-over-year; for the year ended Mar 31, 2026, it came in at -$7.07.
- By year, EPS (Diluted) came in at $4.85 in the year ended Mar 31, 2025 (-30.2%), $6.95 in the year ended Mar 31, 2024 (-57.7%), $16.44 in the year ended Mar 31, 2023 (+15.1%) and $14.29 in the year ended Mar 31, 2022 (-42.4%).
- Five-year quarterly EPS (Diluted) spans a low of $1.09 in the quarter ended Dec 31, 2024 and a high of $14.44 in the quarter ended Sep 30, 2022.
- Year over year, EPS (Diluted) gained in four of the last eight quarters, with growth averaging 33.1%.
- The high point for year-over-year EPS (Diluted) in five years was the quarter ended Dec 31, 2025 (growth of 323.7%); the low point was the quarter ended Dec 31, 2024 (a decline of 78.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $5.54 (quarter ended Mar 31, 2026), $4.61 (quarter ended Dec 31, 2025) and $10.06 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 2.27 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 2.04 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | -0.54 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 1.67 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 1.85 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 4.37 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | -8.44 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -0.04 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 4.31 |
| 10 | Takeda Pharmaceutical | 2.74 Bn | -23.77 Bn | 5.10 Bn | 4.96 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.96 |
| Mar 31, 2026 | 5.54 |
| Dec 31, 2025 | 4.61 |
| Sep 30, 2025 | 10.06 |
| Jun 30, 2025 | 5.88 |
| Mar 31, 2025 | 5.58 |
| Dec 31, 2024 | 1.09 |
| Sep 30, 2024 | 9.86 |
| Jun 30, 2024 | 4.26 |
| Mar 31, 2024 | 4.48 |
| Dec 31, 2023 | 5.01 |
| Sep 30, 2023 | 13.87 |
| Jun 30, 2023 | 4.57 |
| Mar 31, 2023 | 5.56 |
| Dec 31, 2022 | 5.88 |
| Sep 30, 2022 | 14.44 |
| Jun 30, 2022 | 5.66 |
| Mar 31, 2022 | 8.26 |
| Jun 30, 2021 | 8.79 |
| Mar 31, 2021 | 13.02 |
API Access
Takeda Pharmaceutical EPS (Diluted) 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=eps-diluted&ticker=TAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();