Grand Canyon Education (LOPE) Shares Outstanding (2010 - 2026)
Grand Canyon Education (LOPE) posted Weighted Average Shares Outstanding of 26.16 million for Q2 2026, down 6.6% from 28 million a year earlier and down 2.2% from the prior quarter.
Grand Canyon Education (LOPE) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Grand Canyon Education's Weighted Average Shares Outstanding came in at 27.86 million, down 4.3% from FY2024.
- Annual Weighted Average Shares Outstanding has declined for six consecutive years, with a five-year compound annual growth rate of -9.9% (FY2020 to FY2025).
- In prior years, Grand Canyon Education's Weighted Average Shares Outstanding was 29.1 million in FY2024 (-3.0%), 29.99 million in FY2023 (-6.7%), 32.13 million in FY2022 (-26.7%) and 43.84 million in FY2021 (-6.5%).
- The Q2 2026 figure stands as the lowest quarterly Weighted Average Shares Outstanding in data going back to Q1 2010.
- On a year-over-year basis, Weighted Average Shares Outstanding has declined in each of the last 26 quarters, with an average decline of 4.3% over the last eight quarters.
- Across the past five years, year-over-year decline in Weighted Average Shares Outstanding ran from 2.6% in Q3 2024 to 30.1% in Q2 2022.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 26.74 million (Q1 2026), 27.86 million (Q4 2025) and 27.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 159.50 Bn | 117.43 Bn | 5.98 Bn | 612.48 Mn |
| 2 | Cintas | 88.97 Bn | 88.05 Bn | 1.55 Bn | 400.14 Mn |
| 3 | Iron Mountain | 31.77 Bn | 30.97 Bn | 1.06 Bn | 297.99 Mn |
| 4 | Rollins | 18.19 Bn | 17.73 Bn | 582.90 Mn | 478.97 Mn |
| 5 | APi | 17.61 Bn | 14.83 Bn | 770.00 Mn | 431.00 Mn |
| 6 | UL Solutions | 15.91 Bn | 13.91 Bn | 423.00 Mn | 202.00 Mn |
| 7 | Aramark | 13.83 Bn | 11.78 Bn | 430.34 Mn | 263.59 Mn |
| 8 | Gartner | 12.12 Bn | 5.61 Bn | 1.07 Bn | 63.75 Mn |
| 9 | Rentokil Initial | 11.93 Bn | 5.45 Bn | - | 504.80 Mn |
| 10 | Grand Canyon Education | 3.03 Bn | 2.04 Bn | - | 25.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 25.70 Mn |
| Jun 30, 2026 | 26.16 Mn |
| Mar 31, 2026 | 26.74 Mn |
| Dec 31, 2025 | 27.86 Mn |
| Sep 30, 2025 | 27.74 Mn |
| Jun 30, 2025 | 28.00 Mn |
| Mar 31, 2025 | 28.28 Mn |
| Dec 31, 2024 | 29.10 Mn |
| Sep 30, 2024 | 29.00 Mn |
| Jun 30, 2024 | 29.29 Mn |
| Mar 31, 2024 | 29.46 Mn |
| Dec 31, 2023 | 29.99 Mn |
| Sep 30, 2023 | 29.78 Mn |
| Jun 30, 2023 | 30.18 Mn |
| Mar 31, 2023 | 30.46 Mn |
| Dec 31, 2022 | 32.13 Mn |
| Sep 30, 2022 | 31.30 Mn |
| Jun 30, 2022 | 31.80 Mn |
| Mar 31, 2022 | 34.81 Mn |
| Dec 31, 2021 | 43.84 Mn |
Grand Canyon Education Shares Outstanding 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=shares-outstanding&ticker=LOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=LOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();