Takeda Pharmaceutical (TAK) Prepaid Assets (2017 - 2026)
Takeda Pharmaceutical's Prepaid Assets was $1.18 billion in the quarter ended Jun 30, 2026, down 1.4% from $1.2 billion a year earlier but up 14.2% from the prior quarter.
Takeda Pharmaceutical (TAK) Prepaid Assets (2017 - 2026) Analysis & Trends
As of Mar 31, 2026, Prepaid Assets at Takeda Pharmaceutical came in at $1.08 billion, up 3.1% from the prior year.
- Prepaid Assets shows a five-year compound annual growth rate of -1.4% (years ended Mar 2021 to Mar 2026).
- In earlier years, Prepaid Assets was $1.05 billion in the year ended Mar 31, 2025 (-10.5%), $1.17 billion in the year ended Mar 31, 2024 (-1.7%), $1.19 billion in the year ended Mar 31, 2023 (-5.3%) and $1.26 billion in the year ended Mar 31, 2022 (+8.5%).
- Quarterly Prepaid Assets has moved between $1.04 billion (the quarter ended Mar 31, 2026) and $1.31 billion (the quarter ended Jun 30, 2023) over five years.
- Compared with a year earlier, Prepaid Assets has declined for three straight quarters, with an average decline of 3.7% over the last eight quarters.
- The best year-over-year quarter for Prepaid Assets over five years was the quarter ended Dec 31, 2023 (growth of 10.7%); the worst was the quarter ended Sep 30, 2024 (a decline of 12.4%).
- Per Business Quant data, TAK's Prepaid Assets in the three quarters before the quarter ended Jun 30, 2026 was $1.04 billion (quarter ended Mar 31, 2026), $1.14 billion (quarter ended Dec 31, 2025) and $1.13 billion (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Takeda Pharmaceutical | 2.63 Bn | -23.88 Bn | 5.10 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.18 Bn |
| Mar 31, 2026 | 1.04 Bn |
| Dec 31, 2025 | 1.14 Bn |
| Sep 30, 2025 | 1.13 Bn |
| Jun 30, 2025 | 1.20 Bn |
| Mar 31, 2025 | 1.05 Bn |
| Dec 31, 2024 | 1.18 Bn |
| Sep 30, 2024 | 1.08 Bn |
| Jun 30, 2024 | 1.27 Bn |
| Mar 31, 2024 | 1.14 Bn |
| Dec 31, 2023 | 1.21 Bn |
| Sep 30, 2023 | 1.23 Bn |
| Jun 30, 2023 | 1.31 Bn |
| Mar 31, 2023 | 1.22 Bn |
| Dec 31, 2022 | 1.10 Bn |
| Sep 30, 2022 | 1.13 Bn |
| Jun 30, 2022 | 1.26 Bn |
| Mar 31, 2022 | 1.21 Bn |
| Jun 30, 2021 | 1.22 Bn |
| Mar 31, 2021 | 1.16 Bn |
Takeda Pharmaceutical Prepaid Assets 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=prepaid-assets&ticker=TAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();