Takeda Pharmaceutical (TAK) Total Liabilities (2017 - 2026)
Takeda Pharmaceutical's Total Liabilities was $50.85 billion in the quarter ended Jun 30, 2026, up 3.1% from $49.33 billion a year earlier but down 1.3% from the prior quarter.
Takeda Pharmaceutical (TAK) Total Liabilities (2017 - 2026) Analysis & Trends
As of Mar 31, 2026, Total Liabilities at Takeda Pharmaceutical came in at $53.68 billion, up 11.8% from the prior year.
- Total Liabilities shows a five-year compound annual growth rate of -6.0% (years ended Mar 2021 to Mar 2026).
- In earlier years, Total Liabilities was $48 billion in the year ended Mar 31, 2025 (-11.6%), $54.33 billion in the year ended Mar 31, 2024 (-3.5%), $56.28 billion in the year ended Mar 31, 2023 (-15.7%) and $66.73 billion in the year ended Mar 31, 2022 (-8.5%).
- Quarterly Total Liabilities has moved between $47.93 billion (the quarter ended Mar 31, 2025) and $64.47 billion (the quarter ended Mar 31, 2022) over five years.
- Compared with a year earlier, Total Liabilities was higher in two of the last six quarters, with an average decline of 1.3%.
- The best year-over-year quarter for Total Liabilities over five years was the quarter ended Mar 31, 2026 (growth of 7.5%); the worst was the quarter ended Mar 31, 2022 (a decline of 11.8%).
- Per Business Quant data, TAK's Total Liabilities in the three quarters before the quarter ended Jun 30, 2026 was $51.53 billion (quarter ended Mar 31, 2026), $50.45 billion (quarter ended Dec 31, 2025) and $49.81 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Takeda Pharmaceutical | 2.74 Bn | -23.77 Bn | 5.10 Bn | 50.85 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.85 Bn |
| Mar 31, 2026 | 51.53 Bn |
| Dec 31, 2025 | 50.45 Bn |
| Sep 30, 2025 | 49.81 Bn |
| Jun 30, 2025 | 49.33 Bn |
| Mar 31, 2025 | 47.93 Bn |
| Dec 31, 2024 | 50.57 Bn |
| Jun 30, 2024 | 54.14 Bn |
| Mar 31, 2024 | 52.87 Bn |
| Dec 31, 2023 | 50.61 Bn |
| Sep 30, 2023 | 54.02 Bn |
| Jun 30, 2023 | 57.43 Bn |
| Mar 31, 2023 | 57.48 Bn |
| Dec 31, 2022 | 51.87 Bn |
| Sep 30, 2022 | 57.02 Bn |
| Jun 30, 2022 | 59.91 Bn |
| Mar 31, 2022 | 64.47 Bn |
| Jun 30, 2021 | 67.21 Bn |
| Mar 31, 2021 | 73.08 Bn |
| Dec 31, 2020 | 73.18 Bn |
Takeda Pharmaceutical Total Liabilities 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=total-liabilities&ticker=TAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();