Information Services (III) Shares Outstanding (Diluted) (2010 - 2026)
Information Services (III) posted Shares Outstanding (Diluted) of 49.84 million for Q2 2026, down 0.6% from 50.13 million a year earlier and down 0.7% from the prior quarter.
Information Services (III) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Information Services' Shares Outstanding (Diluted) came in at 50.33 million, up 0.6% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior years, Information Services' Shares Outstanding (Diluted) was 50.05 million in FY2024 (-0.3%), 50.18 million in FY2023 (-0.5%), 50.42 million in FY2022 (-2.6%) and 51.76 million in FY2021 (+3.6%).
- 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 four of the last eight quarters, with growth averaging 0.6%.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q1 2025, with growth of 3.6%; the weakest was Q1 2024, with a decline of 3.6%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 50.18 million (Q1 2026), 50.33 million (Q4 2025) and 50.44 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 122.50 Bn | 82.91 Bn | 6.13 Bn | 615.59 Mn |
| 2 | Cintas | 78.05 Bn | 77.24 Bn | 1.48 Bn | 406.20 Mn |
| 3 | Iron Mountain | 33.02 Bn | 32.53 Bn | 1.07 Bn | 299.85 Mn |
| 4 | APi | 16.68 Bn | 13.72 Bn | 703.00 Mn | 437.00 Mn |
| 5 | Rollins | 14.49 Bn | 14.04 Bn | 569.95 Mn | 481.39 Mn |
| 6 | Aramark | 14.11 Bn | 12.13 Bn | 430.34 Mn | 268.54 Mn |
| 7 | UL Solutions | 13.27 Bn | 12.05 Bn | 417.00 Mn | 204.00 Mn |
| 8 | Gartner | 11.78 Bn | 5.47 Bn | 1.19 Bn | 66.58 Mn |
| 9 | Rentokil Initial | 9.98 Bn | 3.32 Bn | - | 507.00 Mn |
| 10 | Information Services | 267.48 Mn | 163.71 Mn | 31.97 Mn | 49.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.84 Mn |
| Mar 31, 2026 | 50.18 Mn |
| Dec 31, 2025 | 50.33 Mn |
| Sep 30, 2025 | 50.44 Mn |
| Jun 30, 2025 | 50.13 Mn |
| Mar 31, 2025 | 50.25 Mn |
| Dec 31, 2024 | 50.05 Mn |
| Sep 30, 2024 | 50.16 Mn |
| Jun 30, 2024 | 49.58 Mn |
| Mar 31, 2024 | 48.49 Mn |
| Dec 31, 2023 | 50.18 Mn |
| Sep 30, 2023 | 50.26 Mn |
| Jun 30, 2023 | 50.32 Mn |
| Mar 31, 2023 | 50.29 Mn |
| Dec 31, 2022 | 50.42 Mn |
| Sep 30, 2022 | 49.84 Mn |
| Jun 30, 2022 | 50.74 Mn |
| Mar 31, 2022 | 51.33 Mn |
| Dec 31, 2021 | 51.76 Mn |
| Sep 30, 2021 | 51.51 Mn |
Information Services 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=III&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "III", "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=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();