Grand Canyon Education (LOPE) Return on Capital Employed [ROCE] (2011 - 2026)
Grand Canyon Education (LOPE) reported Return on Capital Employed [ROCE] of 33.87% for Q2 2026, up 2.12 percentage points from 31.75% a year earlier and up 1.39 percentage points from the prior quarter.
Grand Canyon Education (LOPE) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Grand Canyon Education posted Return on Capital Employed [ROCE] of 29.69%, down 2.20 percentage points from FY2024.
- Return on Capital Employed [ROCE] has a five-year change of +12.86 percentage points (FY2020 to FY2025).
- By year, Return on Capital Employed [ROCE] came in at 31.89% in FY2024 (+0.12 pp), 31.77% in FY2023 (+6.18 pp), 25.59% in FY2022 (+5.94 pp) and 19.65% in FY2021 (+2.83 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Capital Employed [ROCE] since Q3 2022.
- Year over year, Return on Capital Employed [ROCE] gained in three of the last eight quarters, with an average year-over-year change of +0.08 percentage points.
- The high point for year-over-year Return on Capital Employed [ROCE] in five years was Q3 2022 (a gain of 18.34 percentage points); the low point was Q3 2023 (a drop of 4.04 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 32.48% (Q1 2026), 29.45% (Q4 2025) and 28.97% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 22.86% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 33.88% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 7.54% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 8.75% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 7.98% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 31.56% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 25.89% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 29.65% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Grand Canyon Education | 4.09 Bn | 2.98 Bn | - | 33.87% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 33.87% |
| Mar 31, 2026 | 32.48% |
| Dec 31, 2025 | 29.45% |
| Sep 30, 2025 | 28.97% |
| Jun 30, 2025 | 31.75% |
| Mar 31, 2025 | 31.11% |
| Dec 31, 2024 | 30.78% |
| Sep 30, 2024 | 30.82% |
| Jun 30, 2024 | 29.40% |
| Mar 31, 2024 | 31.51% |
| Dec 31, 2023 | 31.17% |
| Sep 30, 2023 | 32.06% |
| Jun 30, 2023 | 31.08% |
| Mar 31, 2023 | 31.96% |
| Dec 31, 2022 | 33.50% |
| Sep 30, 2022 | 36.10% |
| Jun 30, 2022 | 34.58% |
| Mar 31, 2022 | 29.37% |
| Dec 31, 2021 | 20.85% |
| Sep 30, 2021 | 17.76% |
Grand Canyon Education Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=LOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();