Gartner (IT) Shares Outstanding (2009 - 2026)
Gartner (IT) reported Weighted Average Shares Outstanding of 63.75 million for Q3 2026, down 14.9% from 74.88 million a year earlier and down 4.1% from the prior quarter.
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Analysis
Gartner (IT) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Gartner posted Weighted Average Shares Outstanding of 75.36 million, down 3.1% from FY2024.
- Weighted Average Shares Outstanding has declined for seven consecutive years, with a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 77.79 million in FY2024 (-1.5%), 79 million in FY2023 (-1.5%), 80.18 million in FY2022 (-5.7%) and 85.03 million in FY2021 (-4.8%).
- The Q3 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding in data going back to Q2 2009.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last 31 quarters, with an average decline of 6.1% over the last eight quarters.
- The year-over-year decline in Weighted Average Shares Outstanding has ranged between 0.4% (Q3 2023) and 14.9% (Q3 2026) over the last five years.
- Per Business Quant data, the three quarters before Q3 2026 came in at 66.5 million (Q2 2026), 69.8 million (Q1 2026) and 75.36 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 | Tetra Tech | 10.45 Bn | 9.56 Bn | 243.21 Mn | 258.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 63.75 Mn |
| Jun 30, 2026 | 66.50 Mn |
| Mar 31, 2026 | 69.80 Mn |
| Dec 31, 2025 | 75.36 Mn |
| Sep 30, 2025 | 74.88 Mn |
| Jun 30, 2025 | 77.16 Mn |
| Mar 31, 2025 | 77.36 Mn |
| Dec 31, 2024 | 77.79 Mn |
| Sep 30, 2024 | 77.48 Mn |
| Jun 30, 2024 | 77.82 Mn |
| Mar 31, 2024 | 78.34 Mn |
| Dec 31, 2023 | 79.00 Mn |
| Sep 30, 2023 | 78.92 Mn |
| Jun 30, 2023 | 79.29 Mn |
| Mar 31, 2023 | 79.45 Mn |
| Dec 31, 2022 | 80.18 Mn |
| Sep 30, 2022 | 79.26 Mn |
| Jun 30, 2022 | 80.27 Mn |
| Mar 31, 2022 | 82.02 Mn |
| Dec 31, 2021 | 85.03 Mn |
API Access
Gartner 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=IT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "IT", "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=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();