Geo (GEO) Shares Outstanding (Diluted) (2009 - 2026)
Geo (GEO) posted Shares Outstanding (Diluted) of 132.02 million for Q2 2026, down 6.0% from 140.47 million a year earlier and down 1.5% from the prior quarter.
Geo (GEO) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Geo's Shares Outstanding (Diluted) came in at 139.72 million, up 4.2% from FY2024.
- Annual Shares Outstanding (Diluted) has increased for six consecutive years, with a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, Geo's Shares Outstanding (Diluted) was 134.06 million in FY2024 (+8.4%), 123.7 million in FY2023 (+1.2%), 122.28 million in FY2022 (+1.3%) and 120.73 million in FY2021 (+0.6%).
- The Q2 2026 figure stands as the lowest quarterly Shares Outstanding (Diluted) since Q2 2024.
- On a year-over-year basis, Shares Outstanding (Diluted) increased in six of the last eight quarters, with growth averaging 3.8%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2024, with growth of 11.9%; the weakest was Q2 2026, with a decline of 6.0%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 134.06 million (Q1 2026), 139.72 million (Q4 2025) and 139.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.71 Bn | 133.12 Bn | 6.13 Bn | 615.59 Mn |
| 2 | Cintas | 89.51 Bn | 88.59 Bn | 1.55 Bn | 404.29 Mn |
| 3 | Iron Mountain | 32.96 Bn | 32.48 Bn | 1.07 Bn | 299.85 Mn |
| 4 | Rollins | 16.86 Bn | 16.41 Bn | 582.90 Mn | 478.98 Mn |
| 5 | APi | 16.77 Bn | 13.80 Bn | 703.00 Mn | 437.00 Mn |
| 6 | UL Solutions | 14.87 Bn | 13.66 Bn | 417.00 Mn | 204.00 Mn |
| 7 | Gartner | 14.80 Bn | 8.50 Bn | 1.19 Bn | 66.58 Mn |
| 8 | Aramark | 13.84 Bn | 11.86 Bn | 430.34 Mn | 268.54 Mn |
| 9 | Rentokil Initial | 11.56 Bn | 5.07 Bn | - | 507.00 Mn |
| 10 | Geo | 3.56 Bn | 3.17 Bn | - | 132.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 132.02 Mn |
| Mar 31, 2026 | 134.06 Mn |
| Dec 31, 2025 | 139.72 Mn |
| Sep 30, 2025 | 139.99 Mn |
| Jun 30, 2025 | 140.47 Mn |
| Mar 31, 2025 | 140.92 Mn |
| Dec 31, 2024 | 134.06 Mn |
| Sep 30, 2024 | 138.13 Mn |
| Jun 30, 2024 | 130.52 Mn |
| Mar 31, 2024 | 130.99 Mn |
| Dec 31, 2023 | 123.70 Mn |
| Sep 30, 2023 | 123.43 Mn |
| Jun 30, 2023 | 123.28 Mn |
| Mar 31, 2023 | 125.14 Mn |
| Dec 31, 2022 | 122.28 Mn |
| Sep 30, 2022 | 122.43 Mn |
| Jun 30, 2022 | 121.88 Mn |
| Mar 31, 2022 | 121.39 Mn |
| Dec 31, 2021 | 120.73 Mn |
| Sep 30, 2021 | 120.87 Mn |
Geo Shares Outstanding (Diluted) 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-diluted&ticker=GEO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GEO", "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-diluted&ticker=GEO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();