Takeda Pharmaceutical (TAK) Inventory (2017 - 2026)
Takeda Pharmaceutical's Inventory came in at $9.08 billion for the quarter ended Jun 30, 2026, up 5.9% from $8.57 billion a year earlier and up 2.0% from the prior quarter.
Takeda Pharmaceutical (TAK) Inventory (2017 - 2026) Analysis & Trends
As of Mar 31, 2026, Takeda Pharmaceutical's Inventory was $9.28 billion, up 16.1% from the prior year.
- Inventory carries a five-year compound annual growth rate of 5.5% (years ended Mar 2021 to Mar 2026).
- Going back by year, Inventory was $7.99 billion in the year ended Mar 31, 2025 (-4.7%), $8.39 billion in the year ended Mar 31, 2024 (+14.9%), $7.3 billion in the year ended Mar 31, 2023 (-3.9%) and $7.6 billion in the year ended Mar 31, 2022 (+6.9%).
- The five-year range for quarterly Inventory is $6.56 billion (the quarter ended Dec 31, 2022) to $9.14 billion (the quarter ended Dec 31, 2025).
- Year-over-year, Inventory has increased for five consecutive quarters, with growth averaging 5.6% over the last eight quarters.
- The fastest year-over-year change in Inventory over five years came in the quarter ended Dec 31, 2023 (growth of 20.6%), and the weakest in the quarter ended Mar 31, 2025 (a decline of 2.3%).
- Business Quant data shows TAK's Inventory at $8.91 billion (quarter ended Mar 31, 2026), $9.14 billion (quarter ended Dec 31, 2025) and $8.82 billion (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 15.14 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 5.13 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 6.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 6.22 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 6.93 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.22 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 1.95 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 9.95 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 1.77 Bn |
| 10 | Takeda Pharmaceutical | 2.74 Bn | -23.77 Bn | 5.10 Bn | 9.08 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.08 Bn |
| Mar 31, 2026 | 8.91 Bn |
| Dec 31, 2025 | 9.14 Bn |
| Sep 30, 2025 | 8.82 Bn |
| Jun 30, 2025 | 8.57 Bn |
| Mar 31, 2025 | 7.98 Bn |
| Dec 31, 2024 | 8.20 Bn |
| Sep 30, 2024 | 8.09 Bn |
| Jun 30, 2024 | 8.20 Bn |
| Mar 31, 2024 | 8.16 Bn |
| Dec 31, 2023 | 7.91 Bn |
| Sep 30, 2023 | 8.00 Bn |
| Jun 30, 2023 | 7.91 Bn |
| Mar 31, 2023 | 7.46 Bn |
| Dec 31, 2022 | 6.56 Bn |
| Sep 30, 2022 | 6.90 Bn |
| Jun 30, 2022 | 7.17 Bn |
| Mar 31, 2022 | 7.34 Bn |
| Jun 30, 2021 | 7.12 Bn |
| Mar 31, 2021 | 7.12 Bn |
Takeda Pharmaceutical Inventory 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=inventory&ticker=TAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();