8X8 (EGHT) Shares Outstanding (Diluted) (2009 - 2026)
8X8 (EGHT) reported Weighted Average Shares Outstanding (Diluted) of 141.97 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 5.3% from 134.81 million a year earlier but down 0.5% from the prior quarter.
8X8 (EGHT) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), 8X8 posted Weighted Average Shares Outstanding (Diluted) of 142.63 million, up 9.9% from FY2025.
- Weighted Average 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, Weighted Average 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%).
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 112.42 million in fiscal Q2 2022 and a high of 142.93 million in fiscal Q3 2026.
- Year over year, Weighted Average Shares Outstanding (Diluted) has now increased in each of the last 12 quarters, with growth averaging 7.7% over the last eight quarters.
- The high point for year-over-year Weighted Average 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 Q1 2027 came in at 142.63 million (Q4 2026), 142.93 million (Q3 2026) and 141.56 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.55 Bn | 67.80 Bn | 6.00 Bn | 395.50 Mn |
| 2 | Autodesk | 54.36 Bn | 42.40 Bn | 1.87 Bn | 211.00 Mn |
| 3 | Atlassian | 37.46 Bn | 32.39 Bn | 1.51 Bn | 256.85 Mn |
| 4 | Twilio | 33.16 Bn | 22.79 Bn | 760.53 Mn | 161.75 Mn |
| 5 | Zoom Communications | 26.58 Bn | -4.16 Bn | 985.50 Mn | 299.75 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 | 225.10 Mn |
| 8 | RingCentral | 6.19 Bn | 5.72 Bn | 494.30 Mn | 87.69 Mn |
| 9 | Open Text | 5.93 Bn | 1.47 Bn | 905.53 Mn | 242.09 Mn |
| 10 | 8X8 | 316.52 Mn | -55.93 Mn | 114.56 Mn | 146.35 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 146.35 Mn |
| Jun 30, 2026 | 141.97 Mn |
| Mar 31, 2026 | 142.63 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 |
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_KEY
import 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();