Grand Canyon Education (LOPE) EBIT (2010 - 2026)
Grand Canyon Education's EBIT was $58.15 million in Q2 2026, up 12.3% from $51.79 million a year earlier but down 39.1% from the prior quarter.
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Analysis
Grand Canyon Education (LOPE) EBIT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Grand Canyon Education's EBIT was $279.71 million through Jun 30, 2026, down 2.9% year-over-year; for FY2025, it was $265.91 million, down 3.4% from FY2024.
- EBIT shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In earlier years, EBIT was $275.4 million in FY2024 (+10.5%), $249.26 million in FY2023 (+4.9%), $237.5 million in FY2022 (-15.8%) and $282.19 million in FY2021 (+1.7%).
- Quarterly EBIT has moved between $18.02 million (Q3 2025) and $108.08 million (Q4 2025) over five years.
- Compared with a year earlier, EBIT has increased for three straight quarters, with growth averaging 1.2% over the last eight quarters.
- The best year-over-year quarter for EBIT over five years was Q2 2025 (growth of 21.2%); the worst was Q3 2025 (a decline of 62.6%).
- Per Business Quant data, LOPE's EBIT in the three quarters before Q2 2026 was $95.46 million (Q1 2026), $108.08 million (Q4 2025) and $18.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 3.18 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 673.04 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 373.53 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 175.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 201.36 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 215.59 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 150.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 378.52 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Grand Canyon Education | 3.84 Bn | 2.74 Bn | - | 58.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.15 Mn |
| Mar 31, 2026 | 95.46 Mn |
| Dec 31, 2025 | 108.08 Mn |
| Sep 30, 2025 | 18.02 Mn |
| Jun 30, 2025 | 51.79 Mn |
| Mar 31, 2025 | 88.02 Mn |
| Dec 31, 2024 | 100.03 Mn |
| Sep 30, 2024 | 48.18 Mn |
| Jun 30, 2024 | 42.72 Mn |
| Mar 31, 2024 | 84.48 Mn |
| Dec 31, 2023 | 97.80 Mn |
| Sep 30, 2023 | 41.54 Mn |
| Jun 30, 2023 | 35.44 Mn |
| Mar 31, 2023 | 74.48 Mn |
| Dec 31, 2022 | 90.68 Mn |
| Sep 30, 2022 | 35.51 Mn |
| Jun 30, 2022 | 33.85 Mn |
| Mar 31, 2022 | 77.47 Mn |
| Dec 31, 2021 | 102.40 Mn |
| Sep 30, 2021 | 45.32 Mn |
API Access
Grand Canyon Education EBIT 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=ebit&ticker=LOPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();