Takeda Pharmaceutical (TAK) Operating Expenses (2017 - 2026)
Takeda Pharmaceutical's Operating Expenses was -$2.85 billion in the quarter ended Jun 30, 2026, compared with -$1.85 billion a year earlier.
Powered by 
Analysis
Takeda Pharmaceutical (TAK) Operating Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Takeda Pharmaceutical's Operating Expenses was -$12.09 billion through Jun 30, 2026; for the year ended Mar 31, 2026, it was -$1.9 billion.
- In earlier years, Operating Expenses was -$1.77 billion in the year ended Mar 31, 2025, -$1.87 billion in the year ended Mar 31, 2024, -$1.84 billion in the year ended Mar 31, 2023 and -$12.58 billion in the year ended Mar 31, 2022.
- Quarterly Operating Expenses has moved between -$5.49 billion (the quarter ended Sep 30, 2025) and -$1.72 billion (the quarter ended Jun 30, 2024) over five years.
- Per Business Quant data, TAK's Operating Expenses in the three quarters before the quarter ended Jun 30, 2026 was -$1.83 billion (quarter ended Mar 31, 2026), -$1.92 billion (quarter ended Dec 31, 2025) and -$5.49 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,157.47 Bn | 1,126.05 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 624.23 Bn | 542.75 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 513.86 Bn | 486.97 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 365.96 Bn | 320.33 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.62 Bn | 261.61 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.86 Bn | 235.54 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 235.46 Bn | 190.86 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 193.77 Bn | 167.96 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 172.08 Bn | 118.73 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Takeda Pharmaceutical | 63.18 Bn | 39.54 Bn | 5.10 Bn | -2.85 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.85 Bn |
| Mar 31, 2026 | -1.83 Bn |
| Dec 31, 2025 | -1.92 Bn |
| Sep 30, 2025 | -5.49 Bn |
| Jun 30, 2025 | -1.85 Bn |
| Mar 31, 2025 | -1.77 Bn |
| Dec 31, 2024 | -1.95 Bn |
| Sep 30, 2024 | -5.42 Bn |
| Jun 30, 2024 | -1.72 Bn |
| Mar 31, 2024 | -1.82 Bn |
| Dec 31, 2023 | -1.93 Bn |
| Sep 30, 2023 | -5.32 Bn |
| Jun 30, 2023 | -1.85 Bn |
| Mar 31, 2023 | -1.88 Bn |
| Dec 31, 2022 | -1.80 Bn |
| Sep 30, 2022 | -5.38 Bn |
| Jun 30, 2022 | -1.92 Bn |
| Mar 31, 2022 | -3.23 Bn |
| Dec 31, 2021 | -3.16 Bn |
| Jun 30, 2021 | -3.13 Bn |
API Access
Takeda Pharmaceutical Operating 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=operating-expenses&ticker=TAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();