Grand Canyon Education (LOPE) Tax Provisions (2010 - 2026)
Grand Canyon Education's Tax Provisions was $15 million in Q2 2026, up 11.4% from $13.47 million a year earlier but down 35.2% from the prior quarter.
Grand Canyon Education (LOPE) Tax Provisions (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Grand Canyon Education's Tax Provisions was $68.56 million through Jun 30, 2026, up 3.6% year-over-year; for FY2025, it came in at $63.68 million, down 2.2% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of -3.5% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $65.08 million in FY2024 (+19.0%), $54.69 million in FY2023 (-1.4%), $55.44 million in FY2022 (-21.8%) and $70.95 million in FY2021 (-6.6%).
- Quarterly Tax Provisions has moved between $5.38 million (Q3 2025) and $25.04 million (Q4 2025) over five years.
- Compared with a year earlier, Tax Provisions has increased for three straight quarters, with growth averaging 4.9% over the last eight quarters.
- The best year-over-year quarter for Tax Provisions over five years was Q3 2023 (growth of 36.6%); the worst was Q3 2025 (a decline of 50.5%).
- Per Business Quant data, LOPE's Tax Provisions in the three quarters before Q2 2026 was $23.14 million (Q1 2026), $25.04 million (Q4 2025) and $5.38 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 761.94 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 137.44 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 14.80 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 39.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 45.84 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 37.90 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 84.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 79.13 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | - |
| 10 | Grand Canyon Education | 3.98 Bn | 2.87 Bn | - | 15.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.00 Mn |
| Mar 31, 2026 | 23.14 Mn |
| Dec 31, 2025 | 25.04 Mn |
| Sep 30, 2025 | 5.38 Mn |
| Jun 30, 2025 | 13.47 Mn |
| Mar 31, 2025 | 19.79 Mn |
| Dec 31, 2024 | 22.07 Mn |
| Sep 30, 2024 | 10.86 Mn |
| Jun 30, 2024 | 11.95 Mn |
| Mar 31, 2024 | 20.20 Mn |
| Dec 31, 2023 | 20.05 Mn |
| Sep 30, 2023 | 8.54 Mn |
| Jun 30, 2023 | 9.05 Mn |
| Mar 31, 2023 | 17.05 Mn |
| Dec 31, 2022 | 20.98 Mn |
| Sep 30, 2022 | 6.25 Mn |
| Jun 30, 2022 | 8.62 Mn |
| Mar 31, 2022 | 19.59 Mn |
| Dec 31, 2021 | 23.76 Mn |
| Sep 30, 2021 | 12.17 Mn |
Grand Canyon Education Tax Provisions 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=tax-provisions&ticker=LOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();