Grand Canyon Education (LOPE) Total Liabilities (2010 - 2026)
Grand Canyon Education (LOPE) reported Total Liabilities of $249.67 million for Q2 2026, up 2.7% from $243.03 million a year earlier but down 8.1% from the prior quarter.
Grand Canyon Education (LOPE) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Grand Canyon Education posted Total Liabilities of $245.37 million, up 4.6% from FY2024.
- Total Liabilities has increased for four consecutive years, though with a five-year compound annual growth rate of -1.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $234.57 million in FY2024 (+10.4%), $212.45 million in FY2023 (+8.9%), $195.13 million in FY2022 (+9.8%) and $177.7 million in FY2021 (-34.2%).
- Five-year quarterly Total Liabilities spans a low of $177.7 million in Q4 2021 and a high of $279.69 million in Q3 2021.
- Year over year, Total Liabilities has now increased in each of the last five quarters, with growth averaging 6.1% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q1 2024 (growth of 28.6%); the low point was Q2 2022 (a decline of 40.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $271.7 million (Q1 2026), $245.37 million (Q4 2025) and $274.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 35.79 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 5.39 Bn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 23.24 Bn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 6.43 Bn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 1.93 Bn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 10.58 Bn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 1.50 Bn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 7.36 Bn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Grand Canyon Education | 3.84 Bn | 2.74 Bn | - | 249.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 249.67 Mn |
| Mar 31, 2026 | 271.70 Mn |
| Dec 31, 2025 | 245.37 Mn |
| Sep 30, 2025 | 274.75 Mn |
| Jun 30, 2025 | 243.03 Mn |
| Mar 31, 2025 | 250.74 Mn |
| Dec 31, 2024 | 234.57 Mn |
| Sep 30, 2024 | 228.79 Mn |
| Jun 30, 2024 | 233.50 Mn |
| Mar 31, 2024 | 276.12 Mn |
| Dec 31, 2023 | 212.45 Mn |
| Sep 30, 2023 | 212.63 Mn |
| Jun 30, 2023 | 200.79 Mn |
| Mar 31, 2023 | 214.77 Mn |
| Dec 31, 2022 | 195.13 Mn |
| Sep 30, 2022 | 192.99 Mn |
| Jun 30, 2022 | 180.67 Mn |
| Mar 31, 2022 | 211.95 Mn |
| Dec 31, 2021 | 177.70 Mn |
| Sep 30, 2021 | 279.69 Mn |
Grand Canyon Education Total Liabilities 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=total-liabilities&ticker=LOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();