Information Services (III) Shares Outstanding (Diluted) (2009 - 2026)
Information Services (III) posted Weighted Average Shares Outstanding (Diluted) of 50.46 million for Q3 2026, unchanged from 50.44 million a year earlier and up 1.2% from the prior quarter.
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Analysis
Information Services (III) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Information Services' Weighted Average Shares Outstanding (Diluted) came in at 50.33 million, up 0.6% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In prior years, Information Services' Weighted Average 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 Q3 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding (Diluted) since Q2 2022.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) increased in four of the last eight quarters, with growth averaging 0.6%.
- The strongest year-over-year quarter for Weighted Average 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, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 49.84 million (Q2 2026), 50.18 million (Q1 2026) and 50.33 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 172.92 Bn | 132.01 Bn | 5.98 Bn | 617.50 Mn |
| 2 | Cintas | 90.00 Bn | 89.09 Bn | 1.55 Bn | 404.29 Mn |
| 3 | Iron Mountain | 32.99 Bn | 32.50 Bn | 1.06 Bn | 299.99 Mn |
| 4 | Rollins | 18.37 Bn | 17.91 Bn | 582.90 Mn | 478.98 Mn |
| 5 | APi | 18.18 Bn | 15.39 Bn | 770.00 Mn | 432.00 Mn |
| 6 | UL Solutions | 16.47 Bn | 14.51 Bn | 423.00 Mn | 204.00 Mn |
| 7 | Aramark | 14.29 Bn | 12.30 Bn | 430.34 Mn | 268.54 Mn |
| 8 | Rentokil Initial | 11.99 Bn | 5.51 Bn | - | 507.00 Mn |
| 9 | Gartner | 11.92 Bn | 5.41 Bn | 1.07 Bn | 63.95 Mn |
| 10 | Information Services | 292.82 Mn | 189.24 Mn | 28.55 Mn | 50.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 50.46 Mn |
| 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 |
API Access
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_KEYimport 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();