Takeda Pharmaceutical (TAK) Payables (2017 - 2026)
Takeda Pharmaceutical (TAK) recorded Payables of $2.8 billion in the quarter ended Jun 30, 2026, down 3.7% from $2.91 billion a year earlier and down 10.5% from the prior quarter.
Takeda Pharmaceutical (TAK) Payables (2017 - 2026) Analysis & Trends
As of Mar 31, 2026, Takeda Pharmaceutical reported Payables of $3.26 billion, up 4.6% from the prior year.
- Annual Payables has a five-year compound annual growth rate of 0.1% (years ended Mar 2021 to Mar 2026).
- Across earlier years, Payables came in at $3.12 billion in the year ended Mar 31, 2025 (-17.8%), $3.8 billion in the year ended Mar 31, 2024 (-21.0%), $4.81 billion in the year ended Mar 31, 2023 (+4.5%) and $4.6 billion in the year ended Mar 31, 2022 (+41.8%).
- The figure for the quarter ended Jun 30, 2026 is the lowest quarterly Payables since the quarter ended Sep 30, 2024.
- On a year-over-year basis, Payables rose in three of the last eight quarters, with an average decline of 3.3%.
- Peak year-over-year performance for Payables in the last five years was growth of 36.8% in the quarter ended Mar 31, 2022, against a decline of 24.7% in the quarter ended Mar 31, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $3.13 billion (quarter ended Mar 31, 2026), $3.04 billion (quarter ended Dec 31, 2025) and $2.98 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 20.92 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 33.30 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 5.96 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 4.26 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -22.89 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 2.87 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 674.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 7.03 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 429.50 Mn |
| 10 | Takeda Pharmaceutical | 2.74 Bn | -23.77 Bn | 5.10 Bn | 2.80 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.80 Bn |
| Mar 31, 2026 | 3.13 Bn |
| Dec 31, 2025 | 3.04 Bn |
| Sep 30, 2025 | 2.98 Bn |
| Jun 30, 2025 | 2.91 Bn |
| Mar 31, 2025 | 3.12 Bn |
| Dec 31, 2024 | 3.03 Bn |
| Sep 30, 2024 | 2.77 Bn |
| Jun 30, 2024 | 3.01 Bn |
| Mar 31, 2024 | 3.69 Bn |
| Dec 31, 2023 | 3.27 Bn |
| Sep 30, 2023 | 2.92 Bn |
| Jun 30, 2023 | 3.22 Bn |
| Mar 31, 2023 | 4.91 Bn |
| Dec 31, 2022 | 2.70 Bn |
| Sep 30, 2022 | 2.81 Bn |
| Jun 30, 2022 | 3.28 Bn |
| Mar 31, 2022 | 4.44 Bn |
| Jun 30, 2021 | 2.93 Bn |
| Mar 31, 2021 | 3.25 Bn |
Takeda Pharmaceutical Payables 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=payables&ticker=TAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();