Grand Canyon Education (LOPE) Return on Sales [ROS] (2010 - 2026)
Grand Canyon Education (LOPE) recorded Return on Sales [ROS] of 22.02% in Q2 2026, up 1.10 percentage points from 20.92% a year earlier but down 8.89 percentage points from the prior quarter.
Grand Canyon Education (LOPE) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a TTM basis, Grand Canyon Education's Return on Sales [ROS] came in at 24.49% as of Jun 30, 2026, down 2.48 percentage points year-over-year; for FY2025, it came in at 24.04%, down 2.62 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of -8.83 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 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).
- Quarterly Return on Sales [ROS] has ranged from 6.90% in Q3 2025 to 40.74% in Q4 2021 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of -1.06 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 2.14 percentage points in Q2 2025, against a drop of 13.32 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 30.92% (Q1 2026), 35.08% (Q4 2025) and 6.90% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 16.96% |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 23.17% |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 18.41% |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 7.76% |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 4.26% |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 18.67% |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 18.38% |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 22.59% |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | - |
| 10 | Grand Canyon Education | 4.09 Bn | 2.98 Bn | - | 22.02% |
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% |
Grand Canyon Education Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=LOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();