Takeda Pharmaceutical (TAK) Accumulated Expenses (2017 - 2019)
Takeda Pharmaceutical (TAK) posted Accumulated Expenses of $1.63 billion for the quarter ended Nov 29, 2019.
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Analysis
Takeda Pharmaceutical (TAK) Accumulated Expenses (2017 - 2019) Analysis & Trends
As of Mar 31, 2019, Takeda Pharmaceutical's Accumulated Expenses came in at $1.37 billion.
- In prior years, Takeda Pharmaceutical's Accumulated Expenses was $423.2 million in the year ended Dec 31, 2018 (+69.7%) and $249.4 million in the year ended Dec 31, 2017.
- Quarterly Accumulated Expenses has run from a low of $423.2 million in the quarter ended Dec 31, 2018 to a high of $1.64 billion in the quarter ended Sep 30, 2019 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,082.65 Bn | 1,051.23 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 623.68 Bn | 542.21 Bn | 17.26 Bn |
| 3 | AbbVie | 459.43 Bn | 432.59 Bn | 12.70 Bn |
| 4 | Merck | 354.80 Bn | 309.23 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.16 Bn | 225.03 Bn | 11.24 Bn |
| 6 | Astrazeneca | 244.40 Bn | 217.97 Bn | 12.86 Bn |
| 7 | Amgen | 220.17 Bn | 175.57 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 183.05 Bn | 157.16 Bn | 6.22 Bn |
| 9 | Pfizer | 160.27 Bn | 107.22 Bn | 10.94 Bn |
| 10 | Takeda Pharmaceutical | 2.59 Bn | -23.92 Bn | 5.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 29, 2019 | 1.63 Bn |
| Sep 30, 2019 | 1.64 Bn |
| Jun 30, 2019 | 854.44 Mn |
| Mar 31, 2019 | 1.37 Bn |
| Dec 31, 2018 | 423.20 Mn |
| Mar 31, 2018 | 624.52 Mn |
| Dec 31, 2017 | 249.40 Mn |
API Access
Takeda Pharmaceutical Accumulated Expenses 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=accumulated-expenses&ticker=TAK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=TAK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();