Information Services (III) Shares Outstanding (2010 - 2026)
Information Services (III) reported Weighted Average Shares Outstanding of 48.27 million for Q3 2026, up 0.3% from 48.13 million a year earlier and up 0.4% from the prior quarter.
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Analysis
Information Services (III) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Information Services posted Weighted Average Shares Outstanding of 48.16 million, down 1.3% from FY2024.
- Weighted Average Shares Outstanding has a five-year compound annual growth rate of 0.2% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 48.79 million in FY2024 (+0.4%), 48.61 million in FY2023 (+0.9%), 48.18 million in FY2022 (-1.0%) and 48.64 million in FY2021 (+1.9%).
- The Q3 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding since Q2 2025.
- Year over year, Weighted Average Shares Outstanding gained in two of the last eight quarters, with an average decline of 0.7%.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q4 2021 (growth of 1.9%); the low point was Q3 2022 (a decline of 1.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 48.06 million (Q2 2026), 47.75 million (Q1 2026) and 48.16 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 153.56 Bn | 111.49 Bn | 5.98 Bn | 612.48 Mn |
| 2 | Cintas | 88.59 Bn | 87.67 Bn | 1.55 Bn | 400.14 Mn |
| 3 | Iron Mountain | 33.27 Bn | 32.47 Bn | 1.06 Bn | 297.99 Mn |
| 4 | APi | 18.49 Bn | 15.70 Bn | 770.00 Mn | 431.00 Mn |
| 5 | Rollins | 18.05 Bn | 17.59 Bn | 582.90 Mn | 478.97 Mn |
| 6 | UL Solutions | 16.33 Bn | 14.33 Bn | 423.00 Mn | 202.00 Mn |
| 7 | Aramark | 14.48 Bn | 12.43 Bn | 430.34 Mn | 263.59 Mn |
| 8 | Rentokil Initial | 11.94 Bn | 6.46 Bn | - | 504.80 Mn |
| 9 | Gartner | 11.90 Bn | 5.39 Bn | 1.07 Bn | 63.75 Mn |
| 10 | Information Services | 290.11 Mn | 186.53 Mn | 28.55 Mn | 48.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 48.27 Mn |
| Jun 30, 2026 | 48.06 Mn |
| Mar 31, 2026 | 47.75 Mn |
| Dec 31, 2025 | 48.16 Mn |
| Sep 30, 2025 | 48.13 Mn |
| Jun 30, 2025 | 48.27 Mn |
| Mar 31, 2025 | 48.37 Mn |
| Dec 31, 2024 | 48.79 Mn |
| Sep 30, 2024 | 48.94 Mn |
| Jun 30, 2024 | 48.80 Mn |
| Mar 31, 2024 | 48.49 Mn |
| Dec 31, 2023 | 48.61 Mn |
| Sep 30, 2023 | 48.71 Mn |
| Jun 30, 2023 | 48.48 Mn |
| Mar 31, 2023 | 48.44 Mn |
| Dec 31, 2022 | 48.18 Mn |
| Sep 30, 2022 | 47.89 Mn |
| Jun 30, 2022 | 48.16 Mn |
| Mar 31, 2022 | 48.53 Mn |
| Dec 31, 2021 | 48.64 Mn |
API Access
Information Services 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=III&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=III&period=max&api_key=YOUR_API_KEY");
const data = await res.json();