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Agios Pharmaceuticals
ISIN US00847X1046
|WKN A1W2RM
Market cap (in EUR)
1,423 m
Country
United States
Sector
Healthcare
Dividend yield
0.00%
Overview
Quote
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Description
Agios Pharmaceuticals, Inc. is a biopharmaceutical company, which engages in a research engine, multiple novels, and investigational therapies in preclinical development. It focuses on cellular metabolism and classical hematology. The company was founded by Lewis Clayton Cantley, Tak W. Mak, Craig B. Thompson and Shin-Shan Michael Su on August 7, 2007 and is headquartered in Cambridge, MA.
Healthcare Biopharmaceuticals System-Specific Biopharmaceuticals United States
Chart
Financials
Key metrics
| Market capitalisation, EUR | 1,423 m |
| EPS, EUR | -6.30 |
| P/B ratio | 1.3 |
| P/E ratio | 3.8 |
| Dividend yield | 0.00% |
Income statement (2024)
| Revenue, EUR | 34 m |
| Net income, EUR | 623 m |
| Profit margin | 1,845.92% |
What ETF is Agios Pharmaceuticals in?
There are 30 ETFs which contain Agios Pharmaceuticals. All of these ETFs are listed in the table below. The ETF with the largest weighting of Agios Pharmaceuticals is the L&G Pharma Breakthrough UCITS ETF.
Savings plan offers
Here you can find information about the savings plan availability for the stock. You can use the table to compare savings plan offers for the selected savings rate.
Source: justETF Research; as of 1/2026. The offers are sorted in the following way: 1. Rating 2. Execution fee 3. Number of stock savings plans. The number of stock savings plans is rounded. In addition to the fees charged by online brokers, additional costs may apply. The stated fees are thus exclusive of standard market spreads, commissions, product costs and third-party fees. Please note: No guarantee can be given for the completeness, correctness and accuracy of the content listed. The information on the online brokers' homepages is decisive. Investments in securities involve risks.
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** Important note: We are part of the Scalable Group since 2021 and are a wholly owned subsidiary of Scalable GmbH. In order to avoid conflicts of interest as far as possible, we have always applied neutral, objectively verifiable criteria to all comparisons, articles and tests, and attach great importance to YOU alone deciding how and with whom you invest.
*Affiliate link
** Important note: We are part of the Scalable Group since 2021 and are a wholly owned subsidiary of Scalable GmbH. In order to avoid conflicts of interest as far as possible, we have always applied neutral, objectively verifiable criteria to all comparisons, articles and tests, and attach great importance to YOU alone deciding how and with whom you invest.
Performance
Returns overview
| YTD | +5.19% |
| 1 month | +4.29% |
| 3 months | -29.57% |
| 6 months | -27.46% |
| 1 year | -27.89% |
| 3 years | -11.96% |
| 5 years | -36.14% |
| Since inception (MAX) | -45.59% |
| 2025 | -27.36% |
| 2024 | +53.62% |
| 2023 | -19.14% |
| 2022 | -13.92% |
Monthly returns in a heat map
Risk
Risk metrics in this section:
- Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
- Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
- Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.
Risk overview
| Volatility 1 year | 66.48% |
| Volatility 3 years | 56.07% |
| Volatility 5 years | 54.20% |
| Return per risk 1 year | -0.42 |
| Return per risk 3 years | -0.07 |
| Return per risk 5 years | -0.16 |
| Maximum drawdown 1 year | -49.49% |
| Maximum drawdown 3 years | -66.01% |
| Maximum drawdown 5 years | -68.48% |
| Maximum drawdown since inception | -68.48% |
Rolling 1 year volatility
Latest articles
— Data provided by Trackinsight, etfinfo, Xignite Inc., gettex, FactSet and justETF GmbH. Quotes are either real-time (gettex) or 15 minutes delayed stock exchange quotes or NAVs (daily published by the fund provider). By default, ETF returns include dividend payments (if applicable). There is no warranty for completeness, accuracy and correctness for the displayed information.