Grand Canyon Education (LOPE) Change in Receivables (2010 - 2026)
Grand Canyon Education's Change in Receivables came in at -$79.01 million for Q2 2026, compared with -$88 million a year earlier.
Grand Canyon Education (LOPE) Change in Receivables (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Grand Canyon Education reported Change in Receivables of $6.54 million; for FY2025, it came in at $1.33 million, down 67.9% from FY2024.
- Change in Receivables carries a five-year compound annual growth rate of -36.9% (FY2020 to FY2025).
- Going back by year, Change in Receivables was $4.14 million in FY2024 (+195.9%), $1.4 million in FY2023 (-81.0%), $7.35 million in FY2022 (+156.7%) and $2.86 million in FY2021 (-78.4%).
- The five-year range for quarterly Change in Receivables is -$88 million (Q2 2025) to $94.34 million (Q3 2025).
- Year-over-year, Change in Receivables increased in two of the last four quarters, with growth averaging 1.4%.
- The fastest year-over-year change in Change in Receivables over five years came in Q1 2024 (growth of 30.8%), and the weakest in Q1 2023 (a decline of 21.2%).
- Business Quant data shows LOPE's Change in Receivables at $28.97 million (Q1 2026), -$37.76 million (Q4 2025) and $94.34 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 422.98 Mn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 10.42 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | - |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 120.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 36.79 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 44.72 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | -24.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | -204.17 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Grand Canyon Education | 3.84 Bn | 2.74 Bn | - | -79.01 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -79.01 Mn |
| Mar 31, 2026 | 28.97 Mn |
| Dec 31, 2025 | -37.76 Mn |
| Sep 30, 2025 | 94.34 Mn |
| Jun 30, 2025 | -88.00 Mn |
| Mar 31, 2025 | 32.75 Mn |
| Dec 31, 2024 | -33.44 Mn |
| Sep 30, 2024 | 86.93 Mn |
| Jun 30, 2024 | -82.26 Mn |
| Mar 31, 2024 | 32.90 Mn |
| Dec 31, 2023 | -25.66 Mn |
| Sep 30, 2023 | 79.79 Mn |
| Jun 30, 2023 | -77.89 Mn |
| Mar 31, 2023 | 25.16 Mn |
| Dec 31, 2022 | -23.76 Mn |
| Sep 30, 2022 | 75.44 Mn |
| Jun 30, 2022 | -76.28 Mn |
| Mar 31, 2022 | 31.94 Mn |
| Dec 31, 2021 | -29.95 Mn |
| Sep 30, 2021 | 80.13 Mn |
Grand Canyon Education Change in Receivables 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=change-in-receivables&ticker=LOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-receivables", "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=change-in-receivables&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();