Takeda Pharmaceutical (TAK) Net of Acquisitions & Divestments (2018 - 2026)
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Analysis
Takeda Pharmaceutical (TAK) Net of Acquisitions & Divestments (2018 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,199.50 Bn | 1,168.08 Bn | 19.71 Bn | -8.75 Bn |
| 2 | Johnson & Johnson | 635.17 Bn | 555.03 Bn | 17.30 Bn | 17.15 Bn |
| 3 | AbbVie | 504.69 Bn | 477.85 Bn | 12.70 Bn | - |
| 4 | Merck | 358.43 Bn | 312.86 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 288.36 Bn | 252.75 Bn | 11.24 Bn | 39.00 Mn |
| 6 | Astrazeneca | 265.78 Bn | 239.54 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.46 Bn | 192.86 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 193.65 Bn | 167.76 Bn | 6.22 Bn | -11.21 Bn |
| 9 | Pfizer | 171.05 Bn | 118.00 Bn | 10.94 Bn | - |
| 10 | Takeda Pharmaceutical | 64.44 Bn | 40.82 Bn | 5.10 Bn | 65.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 65.64 Mn |
| Mar 31, 2026 | 3.28 Mn |
| Dec 31, 2025 | 20.57 Mn |
| Sep 30, 2025 | 2.40 Mn |
| Jun 30, 2025 | 202.43 Mn |
| Mar 31, 2025 | 71.88 Mn |
| Dec 31, 2024 | 8.29 Mn |
| Sep 30, 2024 | 36.13 Mn |
| Jun 30, 2024 | 18.89 Mn |
| Mar 31, 2024 | 132.22 Mn |
| Sep 30, 2023 | -48,470.98 |
| Jun 30, 2023 | 2.71 Mn |
| Mar 31, 2022 | -630.62 Mn |
| Jun 30, 2021 | 271.19 Mn |
| Mar 31, 2021 | 3.83 Bn |
| Dec 31, 2020 | 895.46 Mn |
| Sep 30, 2020 | 275.58 Mn |
| Mar 31, 2020 | 702.89 Mn |
| Sep 30, 2019 | -652,350.38 |
| Jun 30, 2019 | 42.29 Mn |
API Access
Takeda Pharmaceutical Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=TAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();