Grand Canyon Education (LOPE) Cash & Equivalents (2010 - 2026)
Grand Canyon Education's Cash & Equivalents came in at $171.06 million for Q2 2026, down 11.0% from $192.28 million a year earlier but up 77.9% from the prior quarter.
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Analysis
Grand Canyon Education (LOPE) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Grand Canyon Education's Cash & Equivalents was $111.76 million, down 65.6% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -14.6% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $324.62 million in FY2024 (+121.6%), $146.48 million in FY2023 (+21.6%), $120.41 million in FY2022 (-80.0%) and $600.94 million in FY2021 (+144.5%).
- The five-year range for quarterly Cash & Equivalents is $39.89 million (Q3 2022) to $600.94 million (Q4 2021).
- Year-over-year, Cash & Equivalents has declined for six consecutive quarters, with growth averaging 33.2% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q3 2024 (growth of 363.5%), and the weakest in Q4 2022 (a decline of 80.0%).
- Business Quant data shows LOPE's Cash & Equivalents at $96.15 million (Q1 2026), $111.76 million (Q4 2025) and $97.28 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 10.17 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 289.02 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 204.79 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 851.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 109.09 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 499.43 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 434.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 1.49 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | 2.47 Bn |
| 10 | Grand Canyon Education | 3.84 Bn | 2.74 Bn | - | 171.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 171.06 Mn |
| Mar 31, 2026 | 96.15 Mn |
| Dec 31, 2025 | 111.76 Mn |
| Sep 30, 2025 | 97.28 Mn |
| Jun 30, 2025 | 192.28 Mn |
| Mar 31, 2025 | 144.51 Mn |
| Dec 31, 2024 | 324.62 Mn |
| Sep 30, 2024 | 263.58 Mn |
| Jun 30, 2024 | 241.32 Mn |
| Mar 31, 2024 | 196.21 Mn |
| Dec 31, 2023 | 146.48 Mn |
| Sep 30, 2023 | 56.87 Mn |
| Jun 30, 2023 | 142.93 Mn |
| Mar 31, 2023 | 105.04 Mn |
| Dec 31, 2022 | 120.41 Mn |
| Sep 30, 2022 | 39.89 Mn |
| Jun 30, 2022 | 139.40 Mn |
| Mar 31, 2022 | 201.93 Mn |
| Dec 31, 2021 | 600.94 Mn |
| Sep 30, 2021 | 61.00 Mn |
API Access
Grand Canyon Education Cash & Equivalents 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-and-equivalents&ticker=LOPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();