8X8 (EGHT) Cost of Revenue (2010 - 2025)
8X8 (EGHT) reported Cost of Revenue of $66.83 million for fiscal Q3 2026 (quarter ended Dec 31, 2025), up 15.6% from $57.8 million a year earlier and up 3.2% from the prior quarter.
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Analysis
8X8 (EGHT) Cost of Revenue (2010 - 2025) Analysis & Trends
Over the twelve months ended Dec 31, 2025, 8X8's Cost of Revenue came in at $249.5 million, up 8.6% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $229.8 million, up 2.2% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- By fiscal year, Cost of Revenue came in at $224.91 million in FY2024 (-6.9%), $241.48 million in FY2023 (-2.5%), $247.56 million in FY2022 (+7.6%) and $230.15 million in FY2021 (+14.4%).
- The fiscal Q3 2026 figure ranks as the highest quarterly Cost of Revenue since fiscal Q4 2022.
- Year over year, Cost of Revenue has now increased in each of the last three quarters, with growth averaging 5.8% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was fiscal Q3 2026 (growth of 15.6%); the low point was fiscal Q4 2023 (a decline of 19.3%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $64.76 million (Q2 2026), $60.92 million (Q1 2026) and $56.99 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 763.00 Mn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 238.45 Mn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 773.22 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 176.00 Mn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 291.72 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | 60.47 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 125.00 Mn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 439.04 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 184.70 Mn |
| 10 | 8X8 | 317.59 Mn | -19.73 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 59.47 Mn |
| Jun 30, 2021 | 59.76 Mn |
| Mar 31, 2021 | 61.11 Mn |
API Access
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_KEYimport 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();