Takeda Pharmaceutical (TAK) Short term Debt (2018 - 2026)
Takeda Pharmaceutical's Short term Debt came in at $690.85 million for the quarter ended Jun 30, 2026, down 51.3% from $1.42 billion a year earlier and down 23.3% from the prior quarter.
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Analysis
Takeda Pharmaceutical (TAK) Short term Debt (2018 - 2026) Analysis & Trends
As of Mar 31, 2026, Takeda Pharmaceutical's Short term Debt was $938.15 million, down 34.8% from the prior year.
- Short term Debt carries a five-year compound annual growth rate of -16.7% (years ended Mar 2021 to Mar 2026).
- Going back by year, Short term Debt was $1.44 billion in the year ended Mar 31, 2025 (+44.6%), $994.5 million in the year ended Mar 31, 2024 (-27.6%), $1.37 billion in the year ended Mar 31, 2023 (-21.4%) and $1.75 billion in the year ended Mar 31, 2022 (-25.4%).
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Short term Debt since the quarter ended Nov 29, 2019.
- Year-over-year, Short term Debt increased in three of the last eight quarters, with an average decline of 8.9%.
- The fastest year-over-year change in Short term Debt over five years came in the quarter ended Sep 30, 2023 (growth of 160.1%), and the weakest in the quarter ended Jun 30, 2026 (a decline of 51.3%).
- Business Quant data shows TAK's Short term Debt at $900.5 million (quarter ended Mar 31, 2026), $1.76 billion (quarter ended Dec 31, 2025) and $1.53 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) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn |
| 10 | Takeda Pharmaceutical | 2.68 Bn | -23.83 Bn | 5.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 690.85 Mn |
| Mar 31, 2026 | 900.50 Mn |
| Dec 31, 2025 | 1.76 Bn |
| Sep 30, 2025 | 1.53 Bn |
| Jun 30, 2025 | 1.42 Bn |
| Mar 31, 2025 | 1.44 Bn |
| Dec 31, 2024 | 1.42 Bn |
| Sep 30, 2024 | 1.36 Bn |
| Jun 30, 2024 | 1.70 Bn |
| Mar 31, 2024 | 967.78 Mn |
| Dec 31, 2023 | 1.68 Bn |
| Sep 30, 2023 | 2.13 Bn |
| Jun 30, 2023 | 2.29 Bn |
| Mar 31, 2023 | 1.40 Bn |
| Dec 31, 2022 | 1.28 Bn |
| Sep 30, 2022 | 818.75 Mn |
| Jun 30, 2022 | 1.08 Bn |
| Mar 31, 2022 | 1.69 Bn |
| Jun 30, 2021 | 2.13 Bn |
| Mar 31, 2021 | 2.34 Bn |
API Access
Takeda Pharmaceutical Short term 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=short-term-debt&ticker=TAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-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=short-term-debt&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();