8X8 (EGHT) Shares Outstanding (2009 - 2026)
8X8 (EGHT) reported Weighted Average Shares Outstanding of 141.97 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 5.3% from 134.81 million a year earlier and up 3.1% from the prior quarter.
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Analysis
8X8 (EGHT) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), 8X8 posted Weighted Average Shares Outstanding of 137.67 million, up 6.1% from FY2025.
- Weighted Average Shares Outstanding has increased for ten consecutive fiscal years, with a five-year compound annual growth rate of 5.4% (FY2021 to FY2026).
- By fiscal year, Weighted Average Shares Outstanding 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%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to fiscal Q1 2011.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 12 quarters, with growth averaging 6.4% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was fiscal Q1 2023 (growth of 8.9%); the low point was fiscal Q1 2024 (a decline of 2.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at 137.67 million (Q4 2026), 138.78 million (Q3 2026) and 136.97 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.55 Bn | 67.80 Bn | 6.00 Bn | 395.00 Mn |
| 2 | Autodesk | 54.36 Bn | 42.40 Bn | 1.87 Bn | 210.00 Mn |
| 3 | Atlassian | 37.46 Bn | 32.39 Bn | 1.51 Bn | 252.06 Mn |
| 4 | Twilio | 33.16 Bn | 22.79 Bn | 760.53 Mn | 154.38 Mn |
| 5 | Zoom Communications | 26.58 Bn | -4.16 Bn | 985.50 Mn | 292.88 Mn |
| 6 | Figma | 9.91 Bn | 3.23 Bn | 314.44 Mn | 532.42 Mn |
| 7 | Dropbox | 7.02 Bn | 2.44 Bn | 513.70 Mn | 218.20 Mn |
| 8 | RingCentral | 6.19 Bn | 5.72 Bn | 494.30 Mn | 83.86 Mn |
| 9 | Open Text | 5.93 Bn | 1.47 Bn | 905.53 Mn | 242.01 Mn |
| 10 | 8X8 | 316.52 Mn | -55.93 Mn | 114.56 Mn | 144.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 144.93 Mn |
| Jun 30, 2026 | 141.97 Mn |
| Mar 31, 2026 | 137.67 Mn |
| Dec 31, 2025 | 138.78 Mn |
| Sep 30, 2025 | 136.97 Mn |
| Jun 30, 2025 | 134.81 Mn |
| Mar 31, 2025 | 129.77 Mn |
| Dec 31, 2024 | 130.97 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 |
API Access
8X8 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=EGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();