Takeda Pharmaceutical (TAK) Pension (2018 - 2026)
Takeda Pharmaceutical (TAK) reported Pension of $889.58 million for the quarter ended Jun 30, 2026, down 9.0% from $978 million a year earlier and down 2.9% from the prior quarter.
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Analysis
Takeda Pharmaceutical (TAK) Pension (2018 - 2026) Analysis & Trends
As of Mar 31, 2026, Takeda Pharmaceutical posted Pension of $954.51 million, up 7.4% from the prior year.
- Pension has a five-year compound annual growth rate of -8.6% (years ended Mar 2021 to Mar 2026).
- By year, Pension came in at $889.07 million in the year ended Mar 31, 2025 (-10.9%), $997.69 million in the year ended Mar 31, 2024 (+5.6%), $944.48 million in the year ended Mar 31, 2023 (-27.3%) and $1.3 billion in the year ended Mar 31, 2022 (-13.3%).
- The figure for the quarter ended Jun 30, 2026 ranks as the lowest quarterly Pension since the quarter ended Mar 31, 2025.
- Year over year, Pension gained in four of the last eight quarters, with an average decline of 0.4%.
- The high point for year-over-year Pension in five years was the quarter ended Sep 30, 2025 (growth of 7.4%); the low point was the quarter ended Mar 31, 2023 (a decline of 23.1%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $916.2 million (quarter ended Mar 31, 2026), $978.55 million (quarter ended Dec 31, 2025) and $977.98 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Takeda Pharmaceutical | 2.74 Bn | -23.77 Bn | 5.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 889.58 Mn |
| Mar 31, 2026 | 916.20 Mn |
| Dec 31, 2025 | 978.55 Mn |
| Sep 30, 2025 | 977.98 Mn |
| Jun 30, 2025 | 978.00 Mn |
| Mar 31, 2025 | 887.68 Mn |
| Dec 31, 2024 | 936.92 Mn |
| Sep 30, 2024 | 911.01 Mn |
| Jun 30, 2024 | 955.09 Mn |
| Mar 31, 2024 | 970.89 Mn |
| Dec 31, 2023 | 940.00 Mn |
| Sep 30, 2023 | 934.47 Mn |
| Jun 30, 2023 | 1.00 Bn |
| Mar 31, 2023 | 964.61 Mn |
| Dec 31, 2022 | 940.06 Mn |
| Sep 30, 2022 | 987.02 Mn |
| Jun 30, 2022 | 1.08 Bn |
| Mar 31, 2022 | 1.25 Bn |
| Jun 30, 2021 | 1.47 Bn |
| Mar 31, 2021 | 1.50 Bn |
API Access
Takeda Pharmaceutical Pension 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=pension&ticker=TAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "pension", "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=pension&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();