Takeda Pharmaceutical (TAK) Other Accumulated Expenses (2017 - 2026)
Takeda Pharmaceutical's Other Accumulated Expenses came in at $3.59 billion for the quarter ended Jun 30, 2026, up 0.5% from $3.57 billion a year earlier but down 4.6% from the prior quarter.
Takeda Pharmaceutical (TAK) Other Accumulated Expenses (2017 - 2026) Analysis & Trends
As of Mar 31, 2026, Takeda Pharmaceutical's Other Accumulated Expenses was $3.92 billion, up 0.2% from the prior year.
- Other Accumulated Expenses carries a five-year compound annual growth rate of -5.2% (years ended Mar 2021 to Mar 2026).
- Going back by year, Other Accumulated Expenses was $3.91 billion in the year ended Mar 31, 2025 (-8.8%), $4.29 billion in the year ended Mar 31, 2024 (+2.4%), $4.19 billion in the year ended Mar 31, 2023 (-19.5%) and $5.21 billion in the year ended Mar 31, 2022 (+1.8%).
- The five-year range for quarterly Other Accumulated Expenses is $3.35 billion (the quarter ended Sep 30, 2024) to $5.03 billion (the quarter ended Mar 31, 2022).
- Year-over-year, Other Accumulated Expenses increased in two of the last eight quarters, with an average decline of 3.9%.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in the quarter ended Sep 30, 2025 (growth of 2.5%), and the weakest in the quarter ended Sep 30, 2024 (a decline of 16.1%).
- Business Quant data shows TAK's Other Accumulated Expenses at $3.76 billion (quarter ended Mar 31, 2026), $3.69 billion (quarter ended Dec 31, 2025) and $3.43 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.59 Bn |
| Mar 31, 2026 | 3.76 Bn |
| Dec 31, 2025 | 3.69 Bn |
| Sep 30, 2025 | 3.43 Bn |
| Jun 30, 2025 | 3.57 Bn |
| Mar 31, 2025 | 3.91 Bn |
| Dec 31, 2024 | 3.72 Bn |
| Sep 30, 2024 | 3.35 Bn |
| Jun 30, 2024 | 3.63 Bn |
| Mar 31, 2024 | 4.18 Bn |
| Dec 31, 2023 | 3.96 Bn |
| Sep 30, 2023 | 3.99 Bn |
| Jun 30, 2023 | 4.08 Bn |
| Mar 31, 2023 | 4.28 Bn |
| Dec 31, 2022 | 4.53 Bn |
| Sep 30, 2022 | 4.68 Bn |
| Jun 30, 2022 | 4.69 Bn |
| Mar 31, 2022 | 5.03 Bn |
| Jun 30, 2021 | 4.73 Bn |
| Mar 31, 2021 | 5.13 Bn |
Takeda Pharmaceutical Other Accumulated Expenses 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=other-accumulated-expenses&ticker=TAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();