Grand Canyon Education (LOPE) EBITDA (2010 - 2026)
Grand Canyon Education (LOPE) reported EBITDA of $68.94 million for Q2 2026, up 11.7% from $61.7 million a year earlier but down 34.9% from the prior quarter.
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Analysis
Grand Canyon Education (LOPE) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Grand Canyon Education's EBITDA came in at $321.38 million, down 1.5% year-over-year; for FY2025, it came in at $305.81 million, down 2.0% from FY2024.
- EBITDA has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- By year, EBITDA came in at $311.95 million in FY2024 (+10.9%), $281.23 million in FY2023 (+4.7%), $268.68 million in FY2022 (-14.1%) and $312.6 million in FY2021 (+1.8%).
- Five-year quarterly EBITDA spans a low of $28.19 million in Q3 2025 and a high of $118.34 million in Q4 2025.
- Year over year, EBITDA has now increased in each of the last three quarters, with growth averaging 2.5% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q2 2024 (growth of 20.5%); the low point was Q3 2025 (a decline of 50.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $105.91 million (Q1 2026), $118.34 million (Q4 2025) and $28.19 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.76 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 803.77 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 662.99 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 264.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 234.97 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 351.69 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 196.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 423.70 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Grand Canyon Education | 3.84 Bn | 2.74 Bn | - | 68.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 68.94 Mn |
| Mar 31, 2026 | 105.91 Mn |
| Dec 31, 2025 | 118.34 Mn |
| Sep 30, 2025 | 28.19 Mn |
| Jun 30, 2025 | 61.70 Mn |
| Mar 31, 2025 | 97.58 Mn |
| Dec 31, 2024 | 109.56 Mn |
| Sep 30, 2024 | 57.41 Mn |
| Jun 30, 2024 | 51.75 Mn |
| Mar 31, 2024 | 93.24 Mn |
| Dec 31, 2023 | 106.46 Mn |
| Sep 30, 2023 | 49.70 Mn |
| Jun 30, 2023 | 42.95 Mn |
| Mar 31, 2023 | 82.12 Mn |
| Dec 31, 2022 | 98.52 Mn |
| Sep 30, 2022 | 43.29 Mn |
| Jun 30, 2022 | 41.58 Mn |
| Mar 31, 2022 | 85.29 Mn |
| Dec 31, 2021 | 110.10 Mn |
| Sep 30, 2021 | 53.00 Mn |
API Access
Grand Canyon Education 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=ebitda&ticker=LOPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=ebitda&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();