8X8 (EGHT) Cost of Revenue (2009 - 2026)
8X8 (EGHT) reported Cost of Revenue of $73.8 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 21.1% from $60.92 million a year earlier and up 8.2% from the prior quarter.
8X8 (EGHT) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, 8X8's Cost of Revenue came in at $273.58 million, up 17.1% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $260.7 million, up 13.4% from FY2025.
- Cost of Revenue has a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- By fiscal year, Cost of Revenue came in at $229.8 million in FY2025 (+2.2%), $224.91 million in FY2024 (-6.9%), $241.48 million in FY2023 (-2.5%) and $247.56 million in FY2022 (+7.6%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Cost of Revenue in data going back to fiscal Q1 2011.
- Year over year, Cost of Revenue has now increased in each of the last five quarters, with growth averaging 9.9% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q1 2027 (growth of 21.1%); the low point was fiscal Q4 2023 (a decline of 19.3%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $68.19 million (Q4 2026), $66.83 million (Q3 2026) and $64.76 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.55 Bn | 67.80 Bn | 6.00 Bn | 763.00 Mn |
| 2 | Autodesk | 54.36 Bn | 42.40 Bn | 1.87 Bn | 176.00 Mn |
| 3 | Atlassian | 37.46 Bn | 32.39 Bn | 1.51 Bn | 261.92 Mn |
| 4 | Twilio | 33.16 Bn | 22.79 Bn | 760.53 Mn | 799.01 Mn |
| 5 | Zoom Communications | 26.58 Bn | -4.16 Bn | 985.50 Mn | 291.72 Mn |
| 6 | Figma | 9.91 Bn | 3.23 Bn | 314.44 Mn | 76.98 Mn |
| 7 | Dropbox | 7.02 Bn | 2.44 Bn | 513.70 Mn | 123.60 Mn |
| 8 | RingCentral | 6.19 Bn | 5.72 Bn | 494.30 Mn | 181.74 Mn |
| 9 | Open Text | 5.93 Bn | 1.47 Bn | 905.53 Mn | 331.11 Mn |
| 10 | 8X8 | 316.52 Mn | -55.93 Mn | 114.56 Mn | 77.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 77.44 Mn |
| Jun 30, 2026 | 73.80 Mn |
| Mar 31, 2026 | 68.19 Mn |
| Dec 31, 2025 | 66.83 Mn |
| Sep 30, 2025 | 64.76 Mn |
| Jun 30, 2025 | 60.92 Mn |
| Mar 31, 2025 | 56.99 Mn |
| Dec 31, 2024 | 57.80 Mn |
| Sep 30, 2024 | 57.82 Mn |
| Jun 30, 2024 | 57.19 Mn |
| Mar 31, 2024 | 56.97 Mn |
| Dec 31, 2023 | 56.16 Mn |
| Sep 30, 2023 | 57.10 Mn |
| Jun 30, 2023 | 54.67 Mn |
| Mar 31, 2023 | 55.25 Mn |
| Dec 31, 2022 | 57.51 Mn |
| Sep 30, 2022 | 62.04 Mn |
| Jun 30, 2022 | 66.67 Mn |
| Mar 31, 2022 | 68.50 Mn |
| Dec 31, 2021 | 59.83 Mn |
8X8 Cost of Revenue 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=cost-of-revenue&ticker=EGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();