Takeda Pharmaceutical (TAK) Total Debt (2017 - 2026)
Takeda Pharmaceutical's Total Debt was $690.85 million in the quarter ended Jun 30, 2026, down 51.3% from $1.42 billion a year earlier and down 97.6% from the prior quarter.
Takeda Pharmaceutical (TAK) Total Debt (2017 - 2026) Analysis & Trends
As of Mar 31, 2026, Total Debt at Takeda Pharmaceutical came in at $29.97 billion, up 9.1% from the prior year.
- Total Debt shows a five-year compound annual growth rate of -8.2% (years ended Mar 2021 to Mar 2026).
- In earlier years, Total Debt was $27.48 billion in the year ended Mar 31, 2025 (-14.2%), $32.04 billion in the year ended Mar 31, 2024 (+2.4%), $31.3 billion in the year ended Mar 31, 2023 (-19.0%) and $38.63 billion in the year ended Mar 31, 2022 (-15.8%).
- The figure for the quarter ended Jun 30, 2026 marks the lowest quarterly Total Debt since the quarter ended Nov 29, 2019.
- Compared with a year earlier, Total Debt was higher in three of the last eight quarters, with an average decline of 11.2%.
- The best year-over-year quarter for Total Debt over five years was the quarter ended Sep 30, 2023 (growth of 160.1%); the worst was the quarter ended Jun 30, 2026 (a decline of 51.3%).
- Per Business Quant data, TAK's Total Debt in the three quarters before the quarter ended Jun 30, 2026 was $28.76 billion (quarter ended Mar 31, 2026), $1.76 billion (quarter ended Dec 31, 2025) and $1.53 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 49.04 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 70.82 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 53.91 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 37.49 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -111.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 57.30 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 26.25 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 63.19 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 | 690.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 690.85 Mn |
| Mar 31, 2026 | 28.76 Bn |
| Dec 31, 2025 | 1.76 Bn |
| Sep 30, 2025 | 1.53 Bn |
| Jun 30, 2025 | 1.42 Bn |
| Mar 31, 2025 | 27.43 Bn |
| Dec 31, 2024 | 1.42 Bn |
| Sep 30, 2024 | 1.36 Bn |
| Jun 30, 2024 | 1.70 Bn |
| Mar 31, 2024 | 31.17 Bn |
| Dec 31, 2023 | 1.68 Bn |
| Sep 30, 2023 | 2.13 Bn |
| Jun 30, 2023 | 2.29 Bn |
| Mar 31, 2023 | 31.97 Bn |
| Dec 31, 2022 | 1.28 Bn |
| Sep 30, 2022 | 818.75 Mn |
| Jun 30, 2022 | 1.08 Bn |
| Mar 31, 2022 | 37.32 Bn |
| Jun 30, 2021 | 2.13 Bn |
| Mar 31, 2021 | 45.93 Bn |
Takeda Pharmaceutical Total Debt 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-debt&ticker=TAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();