8X8 (EGHT) Market Capitalization (2010 - 2026)
8X8 (EGHT) posted Market Capitalization of $246.19 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 7.5% from $266.06 million a year earlier but up 5.1% from the prior quarter.
8X8 (EGHT) Market Capitalization (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), 8X8's Market Capitalization came in at $234.33 million, down 12.8% from FY2025.
- Annual Market Capitalization has declined for five consecutive fiscal years, with a five-year compound annual growth rate of -41.9% (FY2021 to FY2026).
- In prior fiscal years, 8X8's Market Capitalization was $268.71 million in FY2025 (-20.5%), $338.02 million in FY2024 (-29.3%), $478.13 million in FY2023 (-67.8%) and $1.48 billion in FY2022 (-58.1%).
- Quarterly Market Capitalization has run from a low of $234.33 million in fiscal Q4 2026 to a high of $2.67 billion in fiscal Q2 2022 over five years.
- On a year-over-year basis, Market Capitalization has declined in each of the last three quarters, with an average decline of 12.1% over the last eight quarters.
- The strongest year-over-year quarter for Market Capitalization in the past five years was fiscal Q2 2022, with growth of 61.2%; the weakest was fiscal Q2 2023, with a decline of 85.5%.
- According to Business Quant data, Market Capitalization for the three prior fiscal quarters was $234.33 million (Q4 2026), $274.41 million (Q3 2026) and $293.77 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 92.84 Bn | 68.09 Bn | 6.00 Bn |
| 2 | Autodesk | 54.44 Bn | 42.47 Bn | 1.87 Bn |
| 3 | Atlassian | 39.94 Bn | 33.22 Bn | 1.53 Bn |
| 4 | Twilio | 33.57 Bn | 23.20 Bn | 760.53 Mn |
| 5 | Zoom Communications | 27.01 Bn | -3.72 Bn | 985.50 Mn |
| 6 | Figma | 10.15 Bn | 3.47 Bn | 314.44 Mn |
| 7 | Dropbox | 7.23 Bn | 2.87 Bn | 506.50 Mn |
| 8 | Open Text | 6.16 Bn | 1.59 Bn | 1.01 Bn |
| 9 | RingCentral | 6.07 Bn | 5.60 Bn | 494.30 Mn |
| 10 | 8X8 | 315.76 Mn | -56.69 Mn | 114.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 328.19 Mn |
| Jun 30, 2026 | 246.19 Mn |
| Mar 31, 2026 | 231.23 Mn |
| Dec 31, 2025 | 274.41 Mn |
| Sep 30, 2025 | 293.77 Mn |
| Jun 30, 2025 | 266.06 Mn |
| Mar 31, 2025 | 268.71 Mn |
| Dec 31, 2024 | 351.03 Mn |
| Sep 30, 2024 | 266.25 Mn |
| Jun 30, 2024 | 284.08 Mn |
| Mar 31, 2024 | 338.02 Mn |
| Dec 31, 2023 | 465.77 Mn |
| Sep 30, 2023 | 307.08 Mn |
| Jun 30, 2023 | 504.35 Mn |
| Mar 31, 2023 | 478.13 Mn |
| Dec 31, 2022 | 488.37 Mn |
| Sep 30, 2022 | 385.32 Mn |
| Jun 30, 2022 | 617.82 Mn |
| Mar 31, 2022 | 1.48 Bn |
| Dec 31, 2021 | 1.98 Bn |
8X8 Market Capitalization 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=market-capitalization&ticker=EGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();