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Grand Canyon Education
ISIN US38526M1062
|WKN A0Q8E2
Market cap (in EUR)
3,767 m
Country
United States
Sector
Consumer Non-Cyclicals
Dividend yield
0.00%
Overview
Quote
Description
Grand Canyon Education, Inc. engages in the provision of education services. It offers graduate and undergraduate degree programs and certificates across colleges. The company was founded by Christopher C. Richardson and Brent D. Richardson in November 2003 and is headquartered in Phoenix, AZ.
Consumer Non-Cyclicals Household Services Personal Professional Services United States
Chart
Financials
Key metrics
| Market capitalisation, EUR | 3,767 m |
| EPS, EUR | 6.91 |
| P/B ratio | 6.4 |
| P/E ratio | 20.8 |
| Dividend yield | 0.00% |
Income statement (2025)
| Revenue, EUR | 980 m |
| Net income, EUR | 192 m |
| Profit margin | 19.54% |
What ETF is Grand Canyon Education in?
There are 3 ETFs which contain Grand Canyon Education. All of these ETFs are listed in the table below. The ETF with the largest weighting of Grand Canyon Education is the JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist).
| ETF | Weight | Investment focus | Fund size (in m EUR) |
|---|---|---|---|
| Vanguard ESG Global All Cap UCITS ETF (USD) Distributing | 0.01% | Equity World Social/Environmental | 515 |
| Vanguard ESG North America All Cap UCITS ETF (USD) Distributing | 0.01% | Equity North America Social/Environmental | 25 |
| JPMorgan BetaBuilders US Small Cap Equity UCITS ETF USD (dist) | 0.08% | Equity United States Small Cap | 209 |
Performance
Returns overview
| YTD | -1.74% |
| 1 month | -5.72% |
| 3 months | -2.76% |
| 6 months | -3.77% |
| 1 year | -14.10% |
| 3 years | +37.27% |
| 5 years | +87.95% |
| Since inception (MAX) | +98.24% |
| 2025 | -8.06% |
| 2024 | +29.71% |
| 2023 | +19.44% |
| 2022 | +32.52% |
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 | 31.70% |
| Volatility 3 years | 28.68% |
| Volatility 5 years | 29.45% |
| Return per risk 1 year | -0.44 |
| Return per risk 3 years | 0.39 |
| Return per risk 5 years | 0.46 |
| Maximum drawdown 1 year | -31.58% |
| Maximum drawdown 3 years | -31.58% |
| Maximum drawdown 5 years | -31.58% |
| Maximum drawdown since inception | -34.72% |
Rolling 1 year volatility
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— 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.