8X8 (EGHT) Non Operating Interest Expenses (2023 - 2026)
8X8 (EGHT) posted Non Operating Interest Expenses of $4.18 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 5.3% from $3.97 million a year earlier but down 4.3% from the prior quarter.
8X8 (EGHT) Non Operating Interest Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at 8X8 was $17.98 million, down 21.4% year-over-year; for FY2026 (ended Mar 31, 2026), it was $17.77 million, down 38.4% from FY2025.
- Annual Non Operating Interest Expenses shows a three-year compound annual growth rate of -13.3% (FY2023 to FY2026).
- In prior fiscal years, 8X8's Non Operating Interest Expenses was $28.86 million in FY2025 (-27.5%), $39.82 million in FY2024 (+46.0%) and $27.27 million in FY2023.
- Quarterly Non Operating Interest Expenses has run from a low of $3.97 million in fiscal Q1 2026 to a high of $10.06 million in fiscal Q2 2024 over five years.
- On a year-over-year basis, Non Operating Interest Expenses increased in 1 of the last eight quarters, with an average decline of 30.0%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was fiscal Q1 2027, with growth of 5.3%; the weakest was fiscal Q1 2026, with a decline of 60.1%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior fiscal quarters was $4.37 million (Q4 2026), $4.59 million (Q3 2026) and $4.84 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.55 Bn | 67.80 Bn | 6.00 Bn | 66.00 Mn |
| 2 | Autodesk | 54.36 Bn | 42.40 Bn | 1.87 Bn | - |
| 3 | Atlassian | 37.46 Bn | 32.39 Bn | 1.51 Bn | 14.20 Mn |
| 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 | 17.13 Mn |
| 9 | Open Text | 5.93 Bn | 1.47 Bn | 905.53 Mn | - |
| 10 | 8X8 | 316.52 Mn | -55.93 Mn | 114.56 Mn | 4.21 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.21 Mn |
| Jun 30, 2026 | 4.18 Mn |
| Mar 31, 2026 | 4.37 Mn |
| Dec 31, 2025 | 4.59 Mn |
| Sep 30, 2025 | 4.84 Mn |
| Jun 30, 2025 | 3.97 Mn |
| Mar 31, 2025 | 5.15 Mn |
| Dec 31, 2024 | 5.84 Mn |
| Sep 30, 2024 | 7.91 Mn |
| Jun 30, 2024 | 9.96 Mn |
| Mar 31, 2024 | 9.65 Mn |
| Dec 31, 2023 | 10.04 Mn |
| Sep 30, 2023 | 10.06 Mn |
8X8 Non Operating Interest 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=non-operating-interest-expenses&ticker=EGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();