Your selection basket is empty.
Define a selection of ETFs which you would like to compare.
Add an ETF by clicking "Compare" on an ETF profile or by checkmarking an ETF in the ETF search.
Varonis Systems
ISIN US9222801022
|WKN A1XELT
Market cap (in EUR)
3,142 m
Country
United States
Sector
Technology
Dividend yield
0.00%
Overview
Quote
Description
Varonis Systems, Inc. engages in the provision of a security software platform. Its software enables enterprises and industries to protect data stored in the cloud and on-premises including sensitive files and emails, confidential personal data belonging to customers, patients, and employees, financial records, source code, strategic, and product plans, and other intellectual property. It operates through the following geographical segments: North America, Europe, Middle East, and Africa, and Rest of the World. The company was founded by Yakov Faitelson and Ohad Korkus on November 3, 2004 and is headquartered in Miami, FL.
Technology Software and Consulting Software United States
Chart
Financials
Key metrics
| Market capitalisation, EUR | 3,142 m |
| EPS, EUR | -0.92 |
| P/B ratio | 6.1 |
| P/E ratio | - |
| Dividend yield | 0.00% |
Income statement (2024)
| Revenue, EUR | 509 m |
| Net income, EUR | -89 m |
| Profit margin | -17.38% |
What ETF is Varonis Systems in?
There are 11 ETFs which contain Varonis Systems. All of these ETFs are listed in the table below. The ETF with the largest weighting of Varonis Systems is the Global X Cybersecurity UCITS ETF USD Accumulating.
| ETF | Weight | Investment focus | Fund size (in m EUR) |
|---|---|---|---|
| Amundi MSCI Digital Economy UCITS ETF Acc | 0.15% | Equity World Technology Social/Environmental Digitalisation | 129 |
| L&G Gerd Kommer Multifactor Equity UCITS ETF USD Distributing | 0.01% | Equity World Multi-Factor Strategy | 139 |
| L&G Gerd Kommer Multifactor Equity UCITS ETF USD Accumulating | 0.01% | Equity World Multi-Factor Strategy | 755 |
| Vanguard ESG Global All Cap UCITS ETF (USD) Distributing | 0.00% | Equity World Social/Environmental | 483 |
| Vanguard ESG North America All Cap UCITS ETF (USD) Distributing | 0.01% | Equity North America Social/Environmental | 27 |
| Global X Cybersecurity UCITS ETF USD Accumulating | 3.55% | Equity World Technology Cybersecurity | 38 |
| Amundi MSCI Smart Cities UCITS ETF - Acc | 0.91% | Equity World Infrastructure Social/Environmental | 65 |
| L&G Russell 2000 US Small Cap Quality UCITS ETF | 0.16% | Equity United States Small Cap | 172 |
| L&G Cyber Security UCITS ETF | 0.60% | Equity World Technology Cybersecurity | 2,464 |
| L&G Artificial Intelligence UCITS ETF | 1.45% | Equity World Technology Social/Environmental Artificial Intelligence | 1,158 |
| JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist) | 0.06% | Equity United States Small Cap | 176 |
Performance
Returns overview
| YTD | -38.42% |
| 1 month | -14.90% |
| 3 months | -45.76% |
| 6 months | -40.74% |
| 1 year | -44.76% |
| 3 years | +31.36% |
| 5 years | - |
| Since inception (MAX) | -42.12% |
| 2024 | +2.06% |
| 2023 | +86.36% |
| 2022 | -48.75% |
| 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 | 50.95% |
| Volatility 3 years | 40.96% |
| Volatility 5 years | - |
| Return per risk 1 year | -0.88 |
| Return per risk 3 years | 0.23 |
| Return per risk 5 years | - |
| Maximum drawdown 1 year | -52.55% |
| Maximum drawdown 3 years | -52.95% |
| Maximum drawdown 5 years | - |
| Maximum drawdown since inception | -73.77% |
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.