8X8 (EGHT) Research & Development (2010 - 2026)
8X8's Research & Development was $28.41 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), up 0.1% from $28.36 million a year earlier but down 3.7% from the prior quarter.
8X8 (EGHT) Research & Development (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, 8X8's Research & Development was $113.03 million through Jun 30, 2026, down 5.4% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $112.98 million, down 8.3% from FY2025.
- Research & Development has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 4.2% (FY2021 to FY2026).
- In earlier fiscal years, Research & Development was $123.21 million in FY2025 (-9.5%), $136.22 million in FY2024 (-4.4%), $142.49 million in FY2023 (+26.8%) and $112.39 million in FY2022 (+22.1%).
- Quarterly Research & Development has moved between $27.19 million (fiscal Q3 2026) and $36.46 million (fiscal Q4 2023) over five years.
- Compared with a year earlier, Research & Development was higher in 1 of the last eight quarters, with an average decline of 7.7%.
- The best year-over-year quarter for Research & Development over five years was fiscal Q1 2023 (growth of 37.7%); the worst was fiscal Q1 2026 (a decline of 11.7%).
- Per Business Quant data, EGHT's Research & Development in the three fiscal quarters before Q1 2027 was $29.51 million (Q4 2026), $27.19 million (Q3 2026) and $27.92 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.84 Bn | 68.09 Bn | 6.00 Bn | 1.29 Bn |
| 2 | Autodesk | 54.44 Bn | 42.47 Bn | 1.87 Bn | 464.00 Mn |
| 3 | Atlassian | 39.94 Bn | 33.22 Bn | 1.53 Bn | 759.82 Mn |
| 4 | Twilio | 33.57 Bn | 23.20 Bn | 760.53 Mn | 280.37 Mn |
| 5 | Zoom Communications | 27.01 Bn | -3.72 Bn | 985.50 Mn | 242.50 Mn |
| 6 | Figma | 10.15 Bn | 3.47 Bn | 314.44 Mn | 205.20 Mn |
| 7 | Dropbox | 7.23 Bn | 2.87 Bn | 506.50 Mn | 188.10 Mn |
| 8 | Open Text | 6.16 Bn | 1.59 Bn | 1.01 Bn | 149.10 Mn |
| 9 | RingCentral | 6.07 Bn | 5.60 Bn | 494.30 Mn | 88.07 Mn |
| 10 | 8X8 | 315.76 Mn | -56.69 Mn | 114.56 Mn | 27.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 27.57 Mn |
| Jun 30, 2026 | 28.41 Mn |
| Mar 31, 2026 | 29.51 Mn |
| Dec 31, 2025 | 27.19 Mn |
| Sep 30, 2025 | 27.92 Mn |
| Jun 30, 2025 | 28.36 Mn |
| Mar 31, 2025 | 29.95 Mn |
| Dec 31, 2024 | 29.83 Mn |
| Sep 30, 2024 | 31.29 Mn |
| Jun 30, 2024 | 32.14 Mn |
| Mar 31, 2024 | 33.93 Mn |
| Dec 31, 2023 | 32.79 Mn |
| Sep 30, 2023 | 34.21 Mn |
| Jun 30, 2023 | 35.29 Mn |
| Mar 31, 2023 | 36.46 Mn |
| Dec 31, 2022 | 35.06 Mn |
| Sep 30, 2022 | 36.02 Mn |
| Jun 30, 2022 | 34.96 Mn |
| Mar 31, 2022 | 30.59 Mn |
| Dec 31, 2021 | 27.91 Mn |
8X8 Research & Development 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=research-and-development&ticker=EGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();