8X8 (EGHT) Enterprise Value (2010 - 2026)
8X8 (EGHT) recorded Enterprise Value of $155.59 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 15.8% from $184.76 million a year earlier but up 10.3% from the prior quarter.
8X8 (EGHT) Enterprise Value (2010 - 2026) Analysis & Trends
On a TTM basis, 8X8's Enterprise Value came in at -$100.42 million as of Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it was $141.07 million, down 21.9% from FY2025.
- Annual Enterprise Value has declined for five straight fiscal years, with a five-year compound annual growth rate of -47.0% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $180.66 million in FY2025 (-18.1%), $220.67 million in FY2024 (-35.2%), $340.5 million in FY2023 (-74.7%) and $1.35 billion in FY2022 (-60.2%).
- Quarterly Enterprise Value has ranged from $141.07 million in fiscal Q4 2026 to $2.52 billion in fiscal Q2 2022 over the past five years.
- On a year-over-year basis, Enterprise Value has declined for three consecutive quarters, with an average decline of 4.5% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 67.8% in fiscal Q2 2022, against a decline of 89.9% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $141.07 million (Q4 2026), $187.53 million (Q3 2026) and $217.89 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 | 226.48 Mn |
| Jun 30, 2026 | 155.59 Mn |
| Mar 31, 2026 | 137.97 Mn |
| Dec 31, 2025 | 187.53 Mn |
| Sep 30, 2025 | 217.89 Mn |
| Jun 30, 2025 | 184.76 Mn |
| Mar 31, 2025 | 180.66 Mn |
| Dec 31, 2024 | 246.83 Mn |
| Sep 30, 2024 | 148.85 Mn |
| Jun 30, 2024 | 153.28 Mn |
| Mar 31, 2024 | 220.71 Mn |
| Dec 31, 2023 | 296.23 Mn |
| Sep 30, 2023 | 158.34 Mn |
| Jun 30, 2023 | 366.17 Mn |
| Mar 31, 2023 | 340.50 Mn |
| Dec 31, 2022 | 357.96 Mn |
| Sep 30, 2022 | 254.40 Mn |
| Jun 30, 2022 | 476.19 Mn |
| Mar 31, 2022 | 1.35 Bn |
| Dec 31, 2021 | 1.74 Bn |
8X8 Enterprise Value 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=enterprise-value&ticker=EGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();