Grand Canyon Education (LOPE) Operating Expenses (2010 - 2026)
Grand Canyon Education (LOPE) posted Operating Expenses of $205.89 million for Q2 2026, up 5.2% from $195.71 million a year earlier but down 3.5% from the prior quarter.
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Analysis
Grand Canyon Education (LOPE) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Grand Canyon Education was $862.36 million, up 10.6% year-over-year; for FY2025, it came in at $840.16 million, up 10.9% from FY2024.
- Annual Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In prior years, Grand Canyon Education's Operating Expenses was $757.6 million in FY2024 (+6.5%), $711.64 million in FY2023 (+5.6%), $673.81 million in FY2022 (+9.7%) and $614.37 million in FY2021 (+8.4%).
- Quarterly Operating Expenses has run from a low of $148.98 million in Q4 2021 to a high of $243.12 million in Q3 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last 28 quarters, with growth averaging 8.3% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 3.9% (Q4 2025) to 27.9% (Q3 2025).
- According to Business Quant data, Operating Expenses for the three prior quarters was $213.3 million (Q1 2026), $200.04 million (Q4 2025) and $243.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 15.54 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 | 1.66 Bn |
| 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 | 877.22 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 4.84 Bn |
| 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 | 1.30 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Grand Canyon Education | 3.84 Bn | 2.74 Bn | - | 205.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 205.89 Mn |
| Mar 31, 2026 | 213.30 Mn |
| Dec 31, 2025 | 200.04 Mn |
| Sep 30, 2025 | 243.12 Mn |
| Jun 30, 2025 | 195.71 Mn |
| Mar 31, 2025 | 201.29 Mn |
| Dec 31, 2024 | 192.55 Mn |
| Sep 30, 2024 | 190.12 Mn |
| Jun 30, 2024 | 184.74 Mn |
| Mar 31, 2024 | 190.20 Mn |
| Dec 31, 2023 | 180.49 Mn |
| Sep 30, 2023 | 180.38 Mn |
| Jun 30, 2023 | 175.14 Mn |
| Mar 31, 2023 | 175.65 Mn |
| Dec 31, 2022 | 168.02 Mn |
| Sep 30, 2022 | 173.21 Mn |
| Jun 30, 2022 | 165.91 Mn |
| Mar 31, 2022 | 166.67 Mn |
| Dec 31, 2021 | 148.98 Mn |
| Sep 30, 2021 | 161.45 Mn |
API Access
Grand Canyon Education Operating Expenses 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-expenses&ticker=LOPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();