Takeda Pharmaceutical (TAK) Sales of Property, Plant and Equipment (2018 - 2026)
Takeda Pharmaceutical's Sales of Property, Plant and Equipment came in at $6.88 million for the quarter ended Jun 30, 2026, down 84.4% from $44.13 million a year earlier.
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Analysis
Takeda Pharmaceutical (TAK) Sales of Property, Plant and Equipment (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Takeda Pharmaceutical reported Sales of Property, Plant and Equipment of $7.32 million, down 74.3% year-over-year; for the year ended Mar 31, 2026, it was $42.88 million.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of -37.2% (years ended Mar 2021 to Mar 2026).
- Going back by year, Sales of Property, Plant and Equipment was $512,058 in the year ended Mar 31, 2025 (-99.1%), $59.67 million in the year ended Mar 31, 2024 (+738.0%), $7.12 million in the year ended Mar 31, 2023 (-56.0%) and $16.17 million in the year ended Mar 31, 2022 (-96.3%).
- The five-year range for quarterly Sales of Property, Plant and Equipment is -$57.66 million (the quarter ended Sep 30, 2024) to $59.55 million (the quarter ended Sep 30, 2023).
- Year-over-year, Sales of Property, Plant and Equipment increased in 1 of the last four quarters, with an average decline of 48.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 63.00 Mn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | - |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | 49.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | 4.00 Mn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | - |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Takeda Pharmaceutical | 2.58 Bn | -23.92 Bn | 5.10 Bn | 6.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.88 Mn |
| Mar 31, 2026 | 344,333.70 |
| Dec 31, 2025 | 97,468.51 |
| Jun 30, 2025 | 44.13 Mn |
| Mar 31, 2025 | 41.95 Mn |
| Dec 31, 2024 | 52,622.20 |
| Sep 30, 2024 | -57.66 Mn |
| Jun 30, 2024 | 57,815.10 |
| Dec 31, 2023 | 1.81 Mn |
| Sep 30, 2023 | 59.55 Mn |
| Jun 30, 2023 | 80,266.13 |
| Dec 31, 2022 | -120,331.42 |
| Sep 30, 2022 | 2.90 Mn |
| Jun 30, 2022 | 262,901.06 |
| Jun 30, 2021 | 721,666.44 |
| Mar 31, 2021 | 34.34 Mn |
| Jun 30, 2020 | 241,748.43 |
| Mar 31, 2020 | 113.16 Mn |
| Sep 30, 2019 | 400,729.52 |
| Jun 30, 2019 | 1.07 Mn |
API Access
Takeda Pharmaceutical Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=TAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();