8X8 (EGHT) Other Operating Expenses (2009 - 2026)
8X8's Other Operating Expenses was $13.36 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 62.5% from $35.63 million a year earlier and down 37.0% from the prior quarter.
8X8 (EGHT) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, 8X8's Other Operating Expenses was $82.41 million through Jun 30, 2026, down 45.6% year-over-year; for FY2026 (ended Mar 31, 2026), it came in at $104.68 million, down 33.7% from FY2025.
- Other Operating Expenses has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -21.4% (FY2021 to FY2026).
- In earlier fiscal years, Other Operating Expenses was $157.87 million in FY2025 (-18.7%), $194.29 million in FY2024 (-11.4%), $219.28 million in FY2023 (+22.5%) and $179.05 million in FY2022 (-48.6%).
- The fiscal Q1 2027 figure marks the lowest quarterly Other Operating Expenses since fiscal Q4 2023.
- Compared with a year earlier, Other Operating Expenses has declined for nine straight quarters, with an average decline of 32.1% over the last eight quarters.
- The best year-over-year quarter for Other Operating Expenses over five years was fiscal Q2 2022 (growth of 26.8%); the worst was fiscal Q1 2027 (a decline of 62.5%).
- Per Business Quant data, EGHT's Other Operating Expenses in the three fiscal quarters before Q1 2027 was $21.19 million (Q4 2026), $20.87 million (Q3 2026) and $27 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 92.55 Bn | 67.80 Bn | 6.00 Bn |
| 2 | Autodesk | 54.36 Bn | 42.40 Bn | 1.87 Bn |
| 3 | Atlassian | 37.46 Bn | 32.39 Bn | 1.51 Bn |
| 4 | Twilio | 33.16 Bn | 22.79 Bn | 760.53 Mn |
| 5 | Zoom Communications | 26.58 Bn | -4.16 Bn | 985.50 Mn |
| 6 | Figma | 9.91 Bn | 3.23 Bn | 314.44 Mn |
| 7 | Dropbox | 7.02 Bn | 2.44 Bn | 513.70 Mn |
| 8 | RingCentral | 6.19 Bn | 5.72 Bn | 494.30 Mn |
| 9 | Open Text | 5.93 Bn | 1.47 Bn | 905.53 Mn |
| 10 | 8X8 | 316.52 Mn | -55.93 Mn | 114.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 6.34 Mn |
| Jun 30, 2026 | 6.16 Mn |
| Mar 31, 2026 | 6.63 Mn |
| Dec 31, 2025 | 7.32 Mn |
| Sep 30, 2025 | 7.06 Mn |
| Jun 30, 2025 | 7.10 Mn |
| Mar 31, 2025 | 7.17 Mn |
| Dec 31, 2024 | 7.27 Mn |
| Sep 30, 2024 | 7.57 Mn |
| Jun 30, 2024 | 7.69 Mn |
| Mar 31, 2024 | 8.41 Mn |
| Dec 31, 2023 | 7.18 Mn |
| Sep 30, 2023 | 7.96 Mn |
| Jun 30, 2023 | 8.40 Mn |
| Mar 31, 2023 | 8.30 Mn |
| Dec 31, 2022 | 10.18 Mn |
| Sep 30, 2022 | 11.00 Mn |
| Jun 30, 2022 | 13.13 Mn |
| Mar 31, 2022 | 14.56 Mn |
| Dec 31, 2021 | 11.07 Mn |
8X8 Other Operating Expenses 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=other-operating-expenses&ticker=EGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();