8X8 (EGHT) Total Current Liabilities (2011 - 2026)
8X8 (EGHT) reported Total Current Liabilities of $213.49 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 21.0% from $176.44 million a year earlier and up 10.7% from the prior quarter.
8X8 (EGHT) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), 8X8 posted Total Current Liabilities of $192.86 million, up 14.0% from FY2025.
- Total Current Liabilities has a five-year compound annual growth rate of 9.7% (FY2021 to FY2026).
- By fiscal year, Total Current Liabilities came in at $169.24 million in FY2025 (-1.9%), $172.58 million in FY2024 (-24.9%), $229.89 million in FY2023 (+20.0%) and $191.53 million in FY2022 (+57.8%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Total Current Liabilities since fiscal Q3 2024.
- Year over year, Total Current Liabilities has now increased in each of the last three quarters, with an average decline of 0.9% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was fiscal Q4 2022 (growth of 57.8%); the low point was fiscal Q1 2025 (a decline of 27.1%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $192.86 million (Q4 2026), $179.94 million (Q3 2026) and $183.66 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.84 Bn | 68.09 Bn | 6.00 Bn | 11.89 Bn |
| 2 | Autodesk | 54.44 Bn | 42.47 Bn | 1.87 Bn | 6.63 Bn |
| 3 | Atlassian | 39.94 Bn | 33.22 Bn | 1.53 Bn | 3.57 Bn |
| 4 | Twilio | 33.57 Bn | 23.20 Bn | 760.53 Mn | 891.50 Mn |
| 5 | Zoom Communications | 27.01 Bn | -3.72 Bn | 985.50 Mn | 2.12 Bn |
| 6 | Figma | 10.15 Bn | 3.47 Bn | 314.44 Mn | 844.18 Mn |
| 7 | Dropbox | 7.23 Bn | 2.87 Bn | 506.50 Mn | 1.18 Bn |
| 8 | Open Text | 6.16 Bn | 1.59 Bn | 1.01 Bn | 2.62 Bn |
| 9 | RingCentral | 6.07 Bn | 5.60 Bn | 494.30 Mn | 679.16 Mn |
| 10 | 8X8 | 315.76 Mn | -56.69 Mn | 114.56 Mn | 262.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 262.49 Mn |
| Jun 30, 2026 | 213.49 Mn |
| Mar 31, 2026 | 192.86 Mn |
| Dec 31, 2025 | 179.94 Mn |
| Sep 30, 2025 | 183.66 Mn |
| Jun 30, 2025 | 176.44 Mn |
| Mar 31, 2025 | 169.24 Mn |
| Dec 31, 2024 | 175.98 Mn |
| Sep 30, 2024 | 208.84 Mn |
| Jun 30, 2024 | 172.36 Mn |
| Mar 31, 2024 | 172.58 Mn |
| Dec 31, 2023 | 230.53 Mn |
| Sep 30, 2023 | 229.09 Mn |
| Jun 30, 2023 | 236.32 Mn |
| Mar 31, 2023 | 229.89 Mn |
| Dec 31, 2022 | 164.77 Mn |
| Sep 30, 2022 | 168.99 Mn |
| Jun 30, 2022 | 175.42 Mn |
| Mar 31, 2022 | 191.53 Mn |
| Dec 31, 2021 | 121.49 Mn |
8X8 Total Current 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-current-liabilities&ticker=EGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();