Zoom Communications (ZM) Shares Outstanding (Diluted) (2018 - 2026)
Zoom Communications' Weighted Average Shares Outstanding (Diluted) was 299.75 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), down 2.8% from 308.22 million a year earlier.
Zoom Communications (ZM) Shares Outstanding (Diluted) (2018 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Weighted Average Shares Outstanding (Diluted) at Zoom Communications came in at 307.33 million, down 2.5% from FY2025.
- Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of 0.6% (FY2021 to FY2026).
- In earlier fiscal years, Weighted Average Shares Outstanding (Diluted) was 315.07 million in FY2025 (+2.1%), 308.52 million in FY2024 (+1.4%), 304.23 million in FY2023 (-0.5%) and 305.83 million in FY2022 (+2.6%).
- The fiscal Q2 2027 figure marks the lowest quarterly Weighted Average Shares Outstanding (Diluted) since fiscal Q4 2021.
- Compared with a year earlier, Weighted Average Shares Outstanding (Diluted) was higher in two of the last seven quarters, with an average decline of 1.1%.
- The best year-over-year quarter for Weighted Average Shares Outstanding (Diluted) over five years was fiscal Q1 2025 (growth of 3.7%); the worst was fiscal Q3 2026 (a decline of 2.9%).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 95.04 Bn | 70.29 Bn | 6.00 Bn | 395.50 Mn |
| 2 | Autodesk | 55.26 Bn | 43.30 Bn | 1.87 Bn | 211.00 Mn |
| 3 | Atlassian | 37.81 Bn | 32.74 Bn | 1.51 Bn | 256.85 Mn |
| 4 | Twilio | 32.70 Bn | 22.33 Bn | 760.53 Mn | 161.75 Mn |
| 5 | Zoom Communications | 29.17 Bn | -1.56 Bn | 985.50 Mn | 299.75 Mn |
| 6 | Figma | 10.36 Bn | 3.67 Bn | 314.44 Mn | 532.42 Mn |
| 7 | Dropbox | 7.27 Bn | 2.69 Bn | 513.70 Mn | 225.10 Mn |
| 8 | RingCentral | 6.37 Bn | 5.90 Bn | 494.30 Mn | 87.69 Mn |
| 9 | Open Text | 6.00 Bn | 1.54 Bn | 905.53 Mn | 242.09 Mn |
| 10 | Box | 5.99 Bn | 4.88 Bn | 253.97 Mn | 139.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 299.75 Mn |
| Apr 30, 2026 | 300.23 Mn |
| Jan 31, 2026 | 307.33 Mn |
| Oct 31, 2025 | 305.02 Mn |
| Jul 31, 2025 | 308.22 Mn |
| Apr 30, 2025 | 312.78 Mn |
| Jan 31, 2025 | 315.07 Mn |
| Oct 31, 2024 | 314.19 Mn |
| Jul 31, 2024 | 314.03 Mn |
| Apr 30, 2024 | 315.36 Mn |
| Jan 31, 2024 | 308.52 Mn |
| Oct 31, 2023 | 310.39 Mn |
| Jul 31, 2023 | 305.93 Mn |
| Apr 30, 2023 | 304.12 Mn |
| Jan 31, 2023 | 304.23 Mn |
| Oct 31, 2022 | 301.99 Mn |
| Jul 31, 2022 | 307.16 Mn |
| Apr 30, 2022 | 306.61 Mn |
| Jan 31, 2022 | 305.83 Mn |
| Oct 31, 2021 | 305.94 Mn |
Zoom Communications 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=ZM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "ZM", "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=ZM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();