Grand Canyon Education (LOPE) Selling, General & Administrative (2010 - 2026)
Grand Canyon Education's Selling, General & Administrative came in at $10.11 million for Q2 2026, down 11.4% from $11.41 million a year earlier and down 2.0% from the prior quarter.
Grand Canyon Education (LOPE) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Grand Canyon Education reported Selling, General & Administrative of $46.07 million, down 1.4% year-over-year; for FY2025, it was $47.42 million, up 2.4% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $46.3 million in FY2024 (+7.1%), $43.24 million in FY2023 (-5.0%), $45.49 million in FY2022 (+8.8%) and $41.83 million in FY2021 (-3.5%).
- The Q2 2026 figure represents the lowest quarterly Selling, General & Administrative since Q1 2023.
- Year-over-year, Selling, General & Administrative has declined for three consecutive quarters, with growth averaging 2.0% over the last eight quarters.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2024 (growth of 18.0%), and the weakest in Q3 2023 (a decline of 21.8%).
- Business Quant data shows LOPE's Selling, General & Administrative at $10.32 million (Q1 2026), $10.49 million (Q4 2025) and $15.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 1.15 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 792.12 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 402.34 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 528.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 334.98 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 78.63 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 267.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 764.59 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Grand Canyon Education | 3.84 Bn | 2.74 Bn | - | 10.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.11 Mn |
| Mar 31, 2026 | 10.32 Mn |
| Dec 31, 2025 | 10.49 Mn |
| Sep 30, 2025 | 15.15 Mn |
| Jun 30, 2025 | 11.41 Mn |
| Mar 31, 2025 | 10.37 Mn |
| Dec 31, 2024 | 10.57 Mn |
| Sep 30, 2024 | 14.36 Mn |
| Jun 30, 2024 | 10.64 Mn |
| Mar 31, 2024 | 10.73 Mn |
| Dec 31, 2023 | 10.40 Mn |
| Sep 30, 2023 | 12.18 Mn |
| Jun 30, 2023 | 10.88 Mn |
| Mar 31, 2023 | 9.79 Mn |
| Dec 31, 2022 | 10.17 Mn |
| Sep 30, 2022 | 15.58 Mn |
| Jun 30, 2022 | 9.85 Mn |
| Mar 31, 2022 | 9.89 Mn |
| Dec 31, 2021 | 8.71 Mn |
| Sep 30, 2021 | 14.45 Mn |
Grand Canyon Education Selling, General & Administrative 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=selling-general-and-administrative&ticker=LOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();