Grand Canyon Education (LOPE) Net Income (2010 - 2026)
Grand Canyon Education (LOPE) recorded Net Income of $45.85 million in Q2 2026, up 10.4% from $41.55 million a year earlier but down 39.1% from the prior quarter.
Grand Canyon Education (LOPE) Net Income (2010 - 2026) Analysis & Trends
On a TTM basis, Grand Canyon Education's Net Income came in at $224.21 million as of Jun 30, 2026, down 5.2% year-over-year; for FY2025, it was $216.17 million, down 4.4% from FY2024.
- Annual Net Income has a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- Across earlier years, Net Income came in at $226.23 million in FY2024 (+10.4%), $204.99 million in FY2023 (+11.0%), $184.68 million in FY2022 (-29.1%) and $260.34 million in FY2021 (+1.2%).
- Quarterly Net Income has ranged from $16.27 million in Q3 2025 to $86.73 million in Q4 2025 over the past five years.
- On a year-over-year basis, Net Income has increased for three consecutive quarters, with growth averaging 0.3% over the last eight quarters.
- Peak year-over-year performance for Net Income in the last five years was growth of 20.4% in Q2 2024, against a decline of 60.8% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $75.35 million (Q1 2026), $86.73 million (Q4 2025) and $16.27 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 116.45 Bn | 76.86 Bn | 6.13 Bn | 2.39 Bn |
| 2 | Cintas | 80.26 Bn | 79.45 Bn | 1.48 Bn | 510.99 Mn |
| 3 | Iron Mountain | 33.05 Bn | 32.57 Bn | 1.07 Bn | 106.10 Mn |
| 4 | APi | 16.57 Bn | 13.61 Bn | 703.00 Mn | 99.00 Mn |
| 5 | Rollins | 14.72 Bn | 14.26 Bn | 569.95 Mn | 143.91 Mn |
| 6 | Aramark | 14.30 Bn | 12.32 Bn | 430.34 Mn | 97.83 Mn |
| 7 | UL Solutions | 13.09 Bn | 11.87 Bn | 417.00 Mn | 254.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 275.50 Mn |
| 9 | Rentokil Initial | 10.36 Bn | 3.71 Bn | - | - |
| 10 | Grand Canyon Education | 3.84 Bn | 2.74 Bn | - | 45.85 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.85 Mn |
| Mar 31, 2026 | 75.35 Mn |
| Dec 31, 2025 | 86.73 Mn |
| Sep 30, 2025 | 16.27 Mn |
| Jun 30, 2025 | 41.55 Mn |
| Mar 31, 2025 | 71.62 Mn |
| Dec 31, 2024 | 81.88 Mn |
| Sep 30, 2024 | 41.47 Mn |
| Jun 30, 2024 | 34.88 Mn |
| Mar 31, 2024 | 68.01 Mn |
| Dec 31, 2023 | 80.71 Mn |
| Sep 30, 2023 | 35.74 Mn |
| Jun 30, 2023 | 28.97 Mn |
| Mar 31, 2023 | 59.56 Mn |
| Dec 31, 2022 | 71.03 Mn |
| Sep 30, 2022 | 30.01 Mn |
| Jun 30, 2022 | 25.56 Mn |
| Mar 31, 2022 | 58.08 Mn |
| Dec 31, 2021 | 85.11 Mn |
| Sep 30, 2021 | 47.66 Mn |
Grand Canyon Education Net Income 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=net-income&ticker=LOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();