Grand Canyon Education (LOPE) Revenue (2010 - 2026)
Grand Canyon Education (LOPE) reported Revenue of $264.05 million for Q2 2026, up 6.7% from $247.5 million a year earlier but down 14.5% from the prior quarter.
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Analysis
Grand Canyon Education (LOPE) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Grand Canyon Education's Revenue came in at $1.14 billion, up 7.0% year-over-year; for FY2025, it came in at $1.11 billion, up 7.1% from FY2024.
- Revenue has increased for six consecutive years, with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- By year, Revenue came in at $1.03 billion in FY2024 (+7.5%), $960.9 million in FY2023 (+5.4%), $911.31 million in FY2022 (+1.6%) and $896.56 million in FY2021 (+6.2%).
- Five-year quarterly Revenue spans a low of $199.75 million in Q2 2022 and a high of $308.76 million in Q1 2026.
- Year over year, Revenue has now increased in each of the last 16 quarters, with growth averaging 6.9% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q1 2024 (growth of 9.8%); the low point was Q2 2022 (a decline of 0.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $308.76 million (Q1 2026), $308.12 million (Q4 2025) and $261.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 18.72 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 2.91 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 2.03 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 2.25 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.08 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 5.06 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 816.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.68 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Grand Canyon Education | 3.84 Bn | 2.74 Bn | - | 264.05 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 264.05 Mn |
| Mar 31, 2026 | 308.76 Mn |
| Dec 31, 2025 | 308.12 Mn |
| Sep 30, 2025 | 261.14 Mn |
| Jun 30, 2025 | 247.50 Mn |
| Mar 31, 2025 | 289.31 Mn |
| Dec 31, 2024 | 292.57 Mn |
| Sep 30, 2024 | 238.29 Mn |
| Jun 30, 2024 | 227.46 Mn |
| Mar 31, 2024 | 274.68 Mn |
| Dec 31, 2023 | 278.28 Mn |
| Sep 30, 2023 | 221.91 Mn |
| Jun 30, 2023 | 210.58 Mn |
| Mar 31, 2023 | 250.13 Mn |
| Dec 31, 2022 | 258.70 Mn |
| Sep 30, 2022 | 208.72 Mn |
| Jun 30, 2022 | 199.75 Mn |
| Mar 31, 2022 | 244.13 Mn |
| Dec 31, 2021 | 251.38 Mn |
| Sep 30, 2021 | 206.77 Mn |
API Access
Grand Canyon Education Revenue 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=revenue&ticker=LOPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();