8X8 (EGHT) Total Liabilities (2011 - 2026)
8X8 (EGHT) posted Total Liabilities of $516.21 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), down 8.0% from $560.97 million a year earlier and down 0.5% from the prior quarter.
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Analysis
8X8 (EGHT) Total Liabilities (2011 - 2026) Analysis & Trends
Since fiscal Q4 2011, 8X8 has reported Total Liabilities for 42 quarters.
- Annual Total Liabilities has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -0.1% (FY2021 to FY2026).
- In prior fiscal years, 8X8's Total Liabilities was $560.97 million in FY2025 (-14.2%), $654.02 million in FY2024 (-11.8%), $741.9 million in FY2023 (+1.9%) and $727.9 million in FY2022 (+40.5%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Total Liabilities since fiscal Q2 2021.
- On a year-over-year basis, Total Liabilities has declined in each of the last 12 quarters, with an average decline of 12.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q2 2023, with growth of 48.2%; the weakest was fiscal Q3 2025, with a decline of 18.4%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $518.66 million (Q3 2026), $537.59 million (Q2 2026) and $556.16 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 18.22 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 5.05 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 1.86 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 9.60 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 2.28 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 873.37 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 5.01 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 1.99 Bn |
| 10 | 8X8 | 309.23 Mn | -28.08 Mn | - | 516.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 516.21 Mn |
| Dec 31, 2025 | 518.66 Mn |
| Sep 30, 2025 | 537.59 Mn |
| Jun 30, 2025 | 556.16 Mn |
| Mar 31, 2025 | 560.97 Mn |
| Dec 31, 2024 | 585.20 Mn |
| Sep 30, 2024 | 630.31 Mn |
| Jun 30, 2024 | 651.15 Mn |
| Mar 31, 2024 | 654.02 Mn |
| Dec 31, 2023 | 717.05 Mn |
| Sep 30, 2023 | 713.31 Mn |
| Jun 30, 2023 | 723.59 Mn |
| Mar 31, 2023 | 741.90 Mn |
| Dec 31, 2022 | 746.08 Mn |
| Sep 30, 2022 | 771.16 Mn |
| Jun 30, 2022 | 755.63 Mn |
| Mar 31, 2022 | 727.90 Mn |
| Dec 31, 2021 | 638.67 Mn |
| Sep 30, 2021 | 520.29 Mn |
| Jun 30, 2021 | 518.86 Mn |
API Access
8X8 Total Liabilities 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=total-liabilities&ticker=EGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();