Gartner (IT) Shares Outstanding (Diluted) (2009 - 2026)
Gartner's Shares Outstanding (Diluted) was 66.58 million in Q2 2026, down 13.9% from 77.36 million a year earlier and down 4.8% from the prior quarter.
Gartner (IT) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at Gartner came in at 75.61 million, down 3.5% from FY2024.
- Shares Outstanding (Diluted) has now declined for seven consecutive years, with a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 78.34 million in FY2024 (-1.7%), 79.68 million in FY2023 (-1.7%), 81.07 million in FY2022 (-5.9%) and 86.18 million in FY2021 (-4.3%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) in data going back to Q2 2009.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 29 straight quarters, with an average decline of 4.7% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Diluted) ran from 0.7% in Q3 2023 to 13.9% in Q2 2026.
- Per Business Quant data, IT's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 69.97 million (Q1 2026), 75.61 million (Q4 2025) and 74.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 132.79 Bn | 93.20 Bn | 6.13 Bn | 615.59 Mn |
| 2 | Cintas | 77.24 Bn | 76.43 Bn | 1.48 Bn | 406.20 Mn |
| 3 | Iron Mountain | 33.76 Bn | 33.28 Bn | 1.07 Bn | 299.85 Mn |
| 4 | APi | 17.50 Bn | 14.54 Bn | 703.00 Mn | 437.00 Mn |
| 5 | Aramark | 14.64 Bn | 12.66 Bn | 430.34 Mn | 268.54 Mn |
| 6 | Rollins | 14.51 Bn | 14.06 Bn | 569.95 Mn | 481.39 Mn |
| 7 | UL Solutions | 13.33 Bn | 12.11 Bn | 417.00 Mn | 204.00 Mn |
| 8 | Gartner | 11.67 Bn | 5.36 Bn | 1.19 Bn | 66.58 Mn |
| 9 | Rentokil Initial | 10.08 Bn | 3.42 Bn | - | 507.00 Mn |
| 10 | Tetra Tech | 8.48 Bn | 7.59 Bn | 243.21 Mn | 259.78 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.58 Mn |
| Mar 31, 2026 | 69.97 Mn |
| Dec 31, 2025 | 75.61 Mn |
| Sep 30, 2025 | 74.99 Mn |
| Jun 30, 2025 | 77.36 Mn |
| Mar 31, 2025 | 77.79 Mn |
| Dec 31, 2024 | 78.34 Mn |
| Sep 30, 2024 | 77.97 Mn |
| Jun 30, 2024 | 78.29 Mn |
| Mar 31, 2024 | 78.96 Mn |
| Dec 31, 2023 | 79.68 Mn |
| Sep 30, 2023 | 79.52 Mn |
| Jun 30, 2023 | 79.82 Mn |
| Mar 31, 2023 | 80.28 Mn |
| Dec 31, 2022 | 81.07 Mn |
| Sep 30, 2022 | 80.06 Mn |
| Jun 30, 2022 | 80.97 Mn |
| Mar 31, 2022 | 82.97 Mn |
| Dec 31, 2021 | 86.18 Mn |
| Sep 30, 2021 | 84.77 Mn |
Gartner 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=IT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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-diluted&ticker=IT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();