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Schrodinger
ISIN US80810D1037
|WKN A2PY7M
Market cap (in EUR)
1,380.55 m
Country
United States
Sector
Healthcare
Dividend yield
0.00%
Overview
Quote
Description
Schrödinger, Inc. engages in the provision of chemical simulation software solutions to pharmaceutical industry. It operates through the Software and Drug Discovery business segments. The Software segment sells software to transform drug discovery across the life sciences industry and to customers in materials science industries. The Drug Discovery segment offers diverse portfolio of preclinical and clinical programs, internally and through collaborations, that have advanced to various stages of discovery and development. The company was founded by Richard A. Friesner, William A. Goddard, III and Murco Ringnalda in 1990 and is headquartered in New York, NY.
Healthcare Healthcare Services Healthcare Support Services United States
Chart
Financials
Key metrics
| Market capitalisation, EUR | 1,380.55 m |
| EPS, EUR | -2.46 |
| P/B ratio | 4.17 |
| P/E ratio | 46.52 |
| Dividend yield | 0.00% |
Income statement (2024)
| Revenue, EUR | 191.86 m |
| Net income, EUR | -172.99 m |
| Profit margin | -90.16% |
What ETF is Schrodinger in?
There are 27 ETFs which contain Schrodinger. All of these ETFs are listed in the table below. The ETF with the largest weighting of Schrodinger is the ARK Genomic Revolution UCITS ETF USD Accumulating.
Performance
Returns overview
| YTD | +1.74% |
| 1 month | -17.84% |
| 3 months | -11.88% |
| 6 months | -4.99% |
| 1 year | -8.09% |
| 3 years | - |
| 5 years | - |
| Since inception (MAX) | -59.75% |
| 2024 | -46.63% |
| 2023 | - |
| 2022 | - |
| 2021 | - |
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 | 59.68% |
| Volatility 3 years | - |
| Volatility 5 years | - |
| Return per risk 1 year | -0.14 |
| Return per risk 3 years | - |
| Return per risk 5 years | - |
| Maximum drawdown 1 year | -33.51% |
| Maximum drawdown 3 years | - |
| Maximum drawdown 5 years | - |
| Maximum drawdown since inception | -69.90% |
Rolling 1 year volatility
— 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.