Grand Canyon Education (LOPE) Other Non-Current Assets (2010 - 2026)
Grand Canyon Education's Other Non-Current Assets came in at $4.81 million for Q2 2026, up 15.9% from $4.15 million a year earlier and up 5.3% from the prior quarter.
Grand Canyon Education (LOPE) Other Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Grand Canyon Education's Other Non-Current Assets was $4.29 million, up 216.1% from FY2024.
- Other Non-Current Assets carries a five-year compound annual growth rate of 18.4% (FY2020 to FY2025).
- Going back by year, Other Non-Current Assets was $1.36 million in FY2024 (-17.3%), $1.64 million in FY2023 (-2.7%), $1.69 million in FY2022 (-13.2%) and $1.94 million in FY2021 (+5.4%).
- The Q2 2026 figure represents the highest quarterly Other Non-Current Assets since Q1 2014.
- Year-over-year, Other Non-Current Assets has increased for six consecutive quarters, with growth averaging 72.3% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Assets over five years came in Q4 2025 (growth of 216.1%), and the weakest in Q3 2022 (a decline of 27.1%).
- Business Quant data shows LOPE's Other Non-Current Assets at $4.56 million (Q1 2026), $4.29 million (Q4 2025) and $4.5 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 145.07 Bn | 104.35 Bn | 6.13 Bn | 2.63 Bn |
| 2 | Cintas | 84.93 Bn | 84.01 Bn | 1.55 Bn | 407.48 Mn |
| 3 | Iron Mountain | 33.24 Bn | 32.43 Bn | 1.07 Bn | 642.00 Mn |
| 4 | APi | 17.33 Bn | 14.36 Bn | 703.00 Mn | 157.00 Mn |
| 5 | Rollins | 15.77 Bn | 15.32 Bn | 569.95 Mn | 60.61 Mn |
| 6 | UL Solutions | 14.77 Bn | 13.53 Bn | 417.00 Mn | 224.00 Mn |
| 7 | Aramark | 14.70 Bn | 12.64 Bn | 430.34 Mn | 615.19 Mn |
| 8 | Gartner | 13.80 Bn | 7.49 Bn | 1.19 Bn | 880.84 Mn |
| 9 | Rentokil Initial | 10.70 Bn | 4.22 Bn | - | 1.39 Bn |
| 10 | Grand Canyon Education | 4.24 Bn | 3.13 Bn | - | 4.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.81 Mn |
| Mar 31, 2026 | 4.56 Mn |
| Dec 31, 2025 | 4.29 Mn |
| Sep 30, 2025 | 4.50 Mn |
| Jun 30, 2025 | 4.15 Mn |
| Mar 31, 2025 | 2.57 Mn |
| Dec 31, 2024 | 1.36 Mn |
| Sep 30, 2024 | 1.64 Mn |
| Jun 30, 2024 | 2.21 Mn |
| Mar 31, 2024 | 1.76 Mn |
| Dec 31, 2023 | 1.64 Mn |
| Sep 30, 2023 | 2.14 Mn |
| Jun 30, 2023 | 2.16 Mn |
| Mar 31, 2023 | 1.96 Mn |
| Dec 31, 2022 | 1.69 Mn |
| Sep 30, 2022 | 1.68 Mn |
| Jun 30, 2022 | 1.84 Mn |
| Mar 31, 2022 | 1.80 Mn |
| Dec 31, 2021 | 1.94 Mn |
| Sep 30, 2021 | 2.31 Mn |
Grand Canyon Education Other Non-Current Assets 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=other-non-current-assets&ticker=LOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-assets", "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=other-non-current-assets&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();