Takeda Pharmaceutical (TAK) Acquisitions (2018 - 2022)
Takeda Pharmaceutical (TAK) posted Acquisitions of -$442.43 million for the year ended Mar 31, 2022.
Analysis
Takeda Pharmaceutical (TAK) Acquisitions (2018 - 2022) Analysis & Trends
Since the year ended Dec 31, 2016, Takeda Pharmaceutical has reported Acquisitions for 6 years.
- The figure for the year ended Mar 31, 2022 stands as the lowest annual Acquisitions since the year ended Mar 31, 2019.
- Business Quant data shows TAK's Acquisitions at -$44.99 million in the year ended Mar 31, 2020, -$26.87 billion in the year ended Mar 31, 2019 and -$104.7 million in the year ended Dec 31, 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 8.75 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | -17.24 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | - |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 23.00 Mn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | - |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 11.21 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | - |
| 10 | Takeda Pharmaceutical | 63.21 Bn | 39.57 Bn | 5.10 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2022 | 854.84 Mn |
| Jun 30, 2021 | -251.66 Mn |
| Mar 31, 2020 | 87.07 Mn |
| Sep 30, 2019 | 652,350.38 |
| Jun 30, 2019 | -42.29 Mn |
| Mar 31, 2019 | 27.48 Bn |
| Sep 30, 2018 | -60.86 Mn |
| Jun 30, 2018 | -550.03 Mn |
| Mar 31, 2018 | 425.44 Mn |
API Access
Takeda Pharmaceutical Acquisitions 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=acquisitions&ticker=TAK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();