8X8 (EGHT) Shares Outstanding (Diluted) (2010 - 2026)
8X8 (EGHT) reported Shares Outstanding (Diluted) of 142.93 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 10.1% from 129.77 million a year earlier and unchanged from the prior quarter.
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Analysis
8X8 (EGHT) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
Dating back to fiscal Q1 2011, 8X8's Shares Outstanding (Diluted) record includes 64 quarters.
- Shares Outstanding (Diluted) has increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 6.2% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Diluted) came in at 129.77 million in FY2025 (+7.2%), 121.11 million in FY2024 (+4.4%), 115.96 million in FY2023 (+2.3%) and 113.35 million in FY2022 (+7.2%).
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last 11 quarters, with growth averaging 8.1% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was fiscal Q3 2025 (growth of 10.8%); the low point was fiscal Q1 2024 (a decline of 2.5%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 142.93 million (Q3 2026), 141.56 million (Q2 2026) and 134.81 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.34 Bn | 69.59 Bn | 6.00 Bn | 395.50 Mn |
| 2 | Atlassian | 49.41 Bn | 42.69 Bn | 1.53 Bn | 260.16 Mn |
| 3 | Twilio | 46.29 Bn | 36.29 Bn | 725.87 Mn | 159.71 Mn |
| 4 | Autodesk | 44.16 Bn | 32.20 Bn | 1.87 Bn | 211.00 Mn |
| 5 | Zoom Communications | 27.42 Bn | -3.37 Bn | 985.50 Mn | 299.75 Mn |
| 6 | Figma | 11.43 Bn | 4.94 Bn | 309.61 Mn | 527.46 Mn |
| 7 | Dropbox | 7.49 Bn | 3.12 Bn | 506.50 Mn | 226.80 Mn |
| 8 | Nice | 7.04 Bn | 5.51 Bn | 995.81 Mn | 63.32 Mn |
| 9 | RingCentral | 6.56 Bn | 6.05 Bn | 472.31 Mn | 86.62 Mn |
| 10 | 8X8 | 321.77 Mn | -15.55 Mn | - | 142.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 142.93 Mn |
| Dec 31, 2025 | 142.93 Mn |
| Sep 30, 2025 | 141.56 Mn |
| Jun 30, 2025 | 134.81 Mn |
| Mar 31, 2025 | 129.77 Mn |
| Dec 31, 2024 | 135.74 Mn |
| Sep 30, 2024 | 129.25 Mn |
| Jun 30, 2024 | 126.00 Mn |
| Mar 31, 2024 | 121.11 Mn |
| Dec 31, 2023 | 122.56 Mn |
| Sep 30, 2023 | 120.76 Mn |
| Jun 30, 2023 | 116.78 Mn |
| Mar 31, 2023 | 115.96 Mn |
| Dec 31, 2022 | 113.20 Mn |
| Sep 30, 2022 | 116.01 Mn |
| Jun 30, 2022 | 119.72 Mn |
| Mar 31, 2022 | 113.35 Mn |
| Dec 31, 2021 | 113.51 Mn |
| Sep 30, 2021 | 112.42 Mn |
| Jun 30, 2021 | 109.93 Mn |
API Access
8X8 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=EGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "EGHT", "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=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();