Grand Canyon Education (LOPE) Operating Margin (2010 - 2026)
Grand Canyon Education's Operating Margin came in at 22.02% for Q2 2026, up 1.10 percentage points from 20.92% a year earlier but down 8.89 percentage points from the prior quarter.
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Analysis
Grand Canyon Education (LOPE) Operating Margin (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Grand Canyon Education reported Operating Margin of 24.49%, down 2.48 percentage points year-over-year; for FY2025, it came in at 24.04%, down 2.62 percentage points from FY2024.
- Operating Margin carries a five-year change of -8.83 percentage points (FY2020 to FY2025).
- Going back by year, Operating Margin was 26.66% in FY2024 (+0.72 pp), 25.94% in FY2023 (-0.12 pp), 26.06% in FY2022 (-5.41 pp) and 31.47% in FY2021 (-1.39 pp).
- The five-year range for quarterly Operating Margin is 6.90% (Q3 2025) to 40.74% (Q4 2021).
- Year-over-year, Operating Margin has increased for three consecutive quarters, with an average year-over-year change of -1.06 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in Q2 2025 (a gain of 2.14 percentage points), and the weakest in Q3 2025 (a drop of 13.32 percentage points).
- Business Quant data shows LOPE's Operating Margin at 30.92% (Q1 2026), 35.08% (Q4 2025) and 6.90% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 7.76% |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 18.67% |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.26% |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Grand Canyon Education | 3.84 Bn | 2.74 Bn | - | 22.02% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.02% |
| Mar 31, 2026 | 30.92% |
| Dec 31, 2025 | 35.08% |
| Sep 30, 2025 | 6.90% |
| Jun 30, 2025 | 20.92% |
| Mar 31, 2025 | 30.43% |
| Dec 31, 2024 | 34.19% |
| Sep 30, 2024 | 20.22% |
| Jun 30, 2024 | 18.78% |
| Mar 31, 2024 | 30.76% |
| Dec 31, 2023 | 35.14% |
| Sep 30, 2023 | 18.72% |
| Jun 30, 2023 | 16.83% |
| Mar 31, 2023 | 29.78% |
| Dec 31, 2022 | 35.05% |
| Sep 30, 2022 | 17.01% |
| Jun 30, 2022 | 16.94% |
| Mar 31, 2022 | 31.73% |
| Dec 31, 2021 | 40.74% |
| Sep 30, 2021 | 21.92% |
API Access
Grand Canyon Education Operating Margin 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=operating-margin&ticker=LOPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();