Grand Canyon Education, Inc. (LOPE) EV to EBITDA (2010 - 2026)
Grand Canyon Education's (LOPE) EV to EBITDA came in at 10.83 for Q2 2026, down 28.8% from 15.21 a year earlier and down 20.7% from the prior quarter.
Grand Canyon Education, Inc. (LOPE) EV to EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at Grand Canyon Education was 8.25, down 33.9% year-over-year; for FY2025, it was 13.92, down 1.4% from FY2024.
- In prior years, Grand Canyon Education's EV to EBITDA was 14.11 in FY2024 (+7.0%), 13.19 in FY2023 (+14.4%), 11.54 in FY2022 (+37.0%) and 8.42 in FY2021 (-36.9%).
- The Q2 2026 figure stands as the lowest quarterly EV to EBITDA since Q3 2022.
- On a year-over-year basis, EV to EBITDA has declined in each of the last three quarters, with growth averaging 7.9% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was Q3 2025, with growth of 57.0%; the weakest was Q4 2021, with a decline of 36.9%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 13.65 (Q1 2026), 13.92 (Q4 2025) and 19.76 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.83 |
| Mar 31, 2026 | 13.65 |
| Dec 31, 2025 | 13.92 |
| Sep 30, 2025 | 19.76 |
| Jun 30, 2025 | 15.21 |
| Mar 31, 2025 | 14.62 |
| Dec 31, 2024 | 14.11 |
| Sep 30, 2024 | 12.59 |
| Jun 30, 2024 | 12.59 |
| Mar 31, 2024 | 12.91 |
| Dec 31, 2023 | 13.19 |
| Sep 30, 2023 | 12.30 |
| Jun 30, 2023 | 10.88 |
| Mar 31, 2023 | 12.49 |
| Dec 31, 2022 | 11.54 |
| Sep 30, 2022 | 8.82 |
| Jun 30, 2022 | 9.68 |
| Mar 31, 2022 | 9.69 |
| Dec 31, 2021 | 8.42 |
| Sep 30, 2021 | 12.13 |
Grand Canyon Education, Inc. EV to EBITDA 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=ev-to-ebitda&ticker=LOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "ticker": "LOPE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ev-to-ebitda&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();