Grand Canyon Education (LOPE) Cash from Operations (2010 - 2026)
Grand Canyon Education's Cash from Operations was $108.65 million in Q2 2026, down 12.4% from $124.01 million a year earlier but up 23.2% from the prior quarter.
Grand Canyon Education (LOPE) Cash from Operations (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Grand Canyon Education's Cash from Operations was $278.71 million through Jun 30, 2026, down 6.5% year-over-year; for FY2025, it was $273.49 million, down 5.7% from FY2024.
- Cash from Operations shows a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- In earlier years, Cash from Operations was $289.96 million in FY2024 (+19.0%), $243.66 million in FY2023 (+10.3%), $220.82 million in FY2022 (-29.5%) and $313.12 million in FY2021 (+1.4%).
- Quarterly Cash from Operations has moved between -$48.63 million (Q3 2025) and $135.82 million (Q4 2024) over five years.
- Compared with a year earlier, Cash from Operations was higher in three of the last six quarters, with growth averaging 6.0%.
- The best year-over-year quarter for Cash from Operations over five years was Q1 2024 (growth of 34.9%); the worst was Q2 2022 (a decline of 37.1%).
- Per Business Quant data, LOPE's Cash from Operations in the three quarters before Q2 2026 was $88.21 million (Q1 2026), $130.49 million (Q4 2025) and -$48.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 3.79 Bn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 709.10 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 549.26 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 83.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 172.51 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 117.19 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 160.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 398.29 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Grand Canyon Education | 3.98 Bn | 2.87 Bn | - | 108.65 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 108.65 Mn |
| Mar 31, 2026 | 88.21 Mn |
| Dec 31, 2025 | 130.49 Mn |
| Sep 30, 2025 | -48.63 Mn |
| Jun 30, 2025 | 124.01 Mn |
| Mar 31, 2025 | 67.63 Mn |
| Dec 31, 2024 | 135.82 Mn |
| Sep 30, 2024 | -29.39 Mn |
| Jun 30, 2024 | 98.56 Mn |
| Mar 31, 2024 | 84.96 Mn |
| Dec 31, 2023 | 116.39 Mn |
| Sep 30, 2023 | -29.85 Mn |
| Jun 30, 2023 | 94.13 Mn |
| Mar 31, 2023 | 63.00 Mn |
| Dec 31, 2022 | 110.35 Mn |
| Sep 30, 2022 | -35.62 Mn |
| Jun 30, 2022 | 75.83 Mn |
| Mar 31, 2022 | 70.26 Mn |
| Dec 31, 2021 | 104.22 Mn |
| Sep 30, 2021 | -1.43 Mn |
Grand Canyon Education Cash from Operations 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=cash-from-operations&ticker=LOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();