Takeda Pharmaceutical (TAK) Selling, General & Administrative (2017 - 2026)
Takeda Pharmaceutical's Selling, General & Administrative came in at -$1.8 billion for the quarter ended Jun 30, 2026, compared with -$1.77 billion a year earlier.
Powered by 
Analysis
Takeda Pharmaceutical (TAK) Selling, General & Administrative (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Takeda Pharmaceutical reported Selling, General & Administrative of -$7.22 billion; for the year ended Mar 31, 2026, it came in at -$7.2 billion.
- Going back by year, Selling, General & Administrative was -$7.25 billion in the year ended Mar 31, 2025, -$7.31 billion in the year ended Mar 31, 2024, -$7.38 billion in the year ended Mar 31, 2023 and -$7.89 billion in the year ended Mar 31, 2022.
- The five-year range for quarterly Selling, General & Administrative is -$1.99 billion (the quarter ended Mar 31, 2022) to -$1.72 billion (the quarter ended Sep 30, 2025).
- Business Quant data shows TAK's Selling, General & Administrative at -$1.86 billion (quarter ended Mar 31, 2026), -$1.84 billion (quarter ended Dec 31, 2025) and -$1.72 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | 3.43 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 6.43 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 3.63 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | 2.90 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -3.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | -5.65 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 1.75 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 1.92 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | 3.41 Bn |
| 10 | Takeda Pharmaceutical | 2.58 Bn | -23.92 Bn | 5.10 Bn | -1.80 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.80 Bn |
| Mar 31, 2026 | -1.86 Bn |
| Dec 31, 2025 | -1.84 Bn |
| Sep 30, 2025 | -1.72 Bn |
| Jun 30, 2025 | -1.77 Bn |
| Mar 31, 2025 | -1.94 Bn |
| Dec 31, 2024 | -1.78 Bn |
| Sep 30, 2024 | -1.80 Bn |
| Jun 30, 2024 | -1.73 Bn |
| Mar 31, 2024 | -1.92 Bn |
| Dec 31, 2023 | -1.81 Bn |
| Sep 30, 2023 | -1.75 Bn |
| Jun 30, 2023 | -1.81 Bn |
| Mar 31, 2023 | -1.88 Bn |
| Dec 31, 2022 | -1.86 Bn |
| Sep 30, 2022 | -1.80 Bn |
| Jun 30, 2022 | -1.79 Bn |
| Mar 31, 2022 | -1.99 Bn |
| Jun 30, 2021 | -2.01 Bn |
| Mar 31, 2021 | -2.21 Bn |
API Access
Takeda Pharmaceutical Selling, General & Administrative 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=selling-general-and-administrative&ticker=TAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();