ZoomInfo Technologies (GTM) Shares Outstanding (Diluted) (2020 - 2026)
ZoomInfo Technologies' Shares Outstanding (Diluted) was 294.5 million in Q2 2026, down 10.0% from 327.24 million a year earlier and down 2.6% from the prior quarter.
ZoomInfo Technologies (GTM) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at ZoomInfo Technologies came in at 324.01 million, down 10.5% from FY2024.
- Shares Outstanding (Diluted) has now declined for four consecutive years, though with a five-year compound annual growth rate of 3.8% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 362.19 million in FY2024 (-8.9%), 397.48 million in FY2023 (-1.5%), 403.39 million in FY2022 (-9.8%) and 447.26 million in FY2021 (+66.3%).
- The Q2 2026 figure marks the lowest quarterly Shares Outstanding (Diluted) since Q2 2021.
- Compared with a year earlier, Shares Outstanding (Diluted) has declined for 13 straight quarters, with an average decline of 10.5% over the last eight quarters.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q4 2021 (growth of 66.3%); the worst was Q3 2021 (a decline of 36.5%).
- Per Business Quant data, GTM's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 302.45 million (Q1 2026), 324.01 million (Q4 2025) and 316.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 456.65 Bn | 425.71 Bn | 1.64 Bn | 2.57 Bn |
| 2 | Oracle | 417.55 Bn | 290.11 Bn | - | 3.00 Bn |
| 3 | Sap Se | 259.04 Bn | 180.13 Bn | 8.40 Bn | 1.18 Bn |
| 4 | Salesforce | 194.78 Bn | 150.65 Bn | 8.70 Bn | 821.00 Mn |
| 5 | ServiceNow | 142.47 Bn | 120.93 Bn | 2.82 Bn | 1.03 Bn |
| 6 | Automatic Data Processing | 105.00 Bn | 87.13 Bn | 2.51 Bn | 403.30 Mn |
| 7 | Intuit | 75.89 Bn | 55.24 Bn | 3.44 Bn | 277.00 Mn |
| 8 | Relx | 60.92 Bn | 57.89 Bn | - | 1.84 Bn |
| 9 | Strategy | 56.49 Bn | 49.48 Bn | 81.55 Mn | 352.53 Mn |
| 10 | ZoomInfo Technologies | 1.13 Bn | 485.20 Mn | 256.80 Mn | 294.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 294.50 Mn |
| Mar 31, 2026 | 302.45 Mn |
| Dec 31, 2025 | 324.01 Mn |
| Sep 30, 2025 | 316.97 Mn |
| Jun 30, 2025 | 327.24 Mn |
| Mar 31, 2025 | 340.74 Mn |
| Dec 31, 2024 | 362.19 Mn |
| Sep 30, 2024 | 355.13 Mn |
| Jun 30, 2024 | 371.43 Mn |
| Mar 31, 2024 | 379.31 Mn |
| Dec 31, 2023 | 397.48 Mn |
| Sep 30, 2023 | 397.23 Mn |
| Jun 30, 2023 | 401.73 Mn |
| Mar 31, 2023 | 404.12 Mn |
| Dec 31, 2022 | 403.39 Mn |
| Sep 30, 2022 | 403.47 Mn |
| Jun 30, 2022 | 403.22 Mn |
| Mar 31, 2022 | 403.14 Mn |
| Dec 31, 2021 | 447.26 Mn |
| Sep 30, 2021 | 312.27 Mn |
ZoomInfo Technologies 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=GTM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GTM", "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=GTM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();