Takeda Pharmaceutical (TAK) Price to Earnings (2018 - 2026)
Takeda Pharmaceutical's (TAK) Price to Earnings stood at 0.64 in the quarter ended Jun 30, 2026, down 7.6% from 0.69 a year earlier and down 9.9% from the prior quarter.
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Analysis
Takeda Pharmaceutical (TAK) Price to Earnings (2018 - 2026) Analysis & Trends
For the year ended Mar 31, 2025, Takeda Pharmaceutical's Price to Earnings came in at 3.04, up 51.8% from the prior year.
- Annual Price to Earnings has increased for four straight years.
- Across earlier years, Price to Earnings came in at 2.00 in the year ended Mar 31, 2024 (+98.0%), 1.01 in the year ended Mar 31, 2023 (+0.5%), 1.01 in the year ended Mar 31, 2022 (+36.2%) and 0.74 in the year ended Mar 31, 2021 (-86.0%).
- Quarterly Price to Earnings has ranged from 0.35 in the quarter ended Sep 30, 2022 to 0.72 in the quarter ended Mar 31, 2025 over the past five years.
- On a year-over-year basis, Price to Earnings has declined for three consecutive quarters, with growth averaging 15.8% over the last eight quarters.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 48.8% in the quarter ended Sep 30, 2023, against a decline of 19.1% in the quarter ended Mar 31, 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 0.71 (quarter ended Mar 31, 2026), 0.59 (quarter ended Dec 31, 2025) and 0.64 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Takeda Pharmaceutical | 2.58 Bn | -23.92 Bn | 5.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.64 |
| Mar 31, 2026 | 0.71 |
| Dec 31, 2025 | 0.59 |
| Sep 30, 2025 | 0.64 |
| Jun 30, 2025 | 0.69 |
| Mar 31, 2025 | 0.72 |
| Dec 31, 2024 | 0.67 |
| Sep 30, 2024 | 0.60 |
| Jun 30, 2024 | 0.47 |
| Mar 31, 2024 | 0.50 |
| Dec 31, 2023 | 0.50 |
| Sep 30, 2023 | 0.52 |
| Jun 30, 2023 | 0.52 |
| Mar 31, 2023 | 0.52 |
| Dec 31, 2022 | 0.46 |
| Sep 30, 2022 | 0.35 |
| Jun 30, 2022 | 0.39 |
| Mar 31, 2022 | 0.40 |
| Jun 30, 2021 | 0.51 |
| Mar 31, 2021 | 0.49 |
API Access
Takeda Pharmaceutical Price to Earnings 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=price-to-earnings&ticker=TAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();