8X8 (EGHT) Tax Provisions (2010 - 2025)
8X8 (EGHT) posted Tax Provisions of $528,000 for fiscal Q3 2026 (quarter ended Dec 31, 2025), down 41.9% from $908,000 a year earlier but up 153.8% from the prior quarter.
8X8 (EGHT) Tax Provisions (2010 - 2025) Analysis & Trends
For the trailing twelve months through Dec 31, 2025, Tax Provisions at 8X8 was $2.48 million, down 47.8% year-over-year; for FY2025 (ended Mar 31, 2025), it came in at $3.15 million, down 13.5% from FY2024.
- Annual Tax Provisions shows a five-year compound annual growth rate of 30.5% (FY2020 to FY2025).
- In prior fiscal years, 8X8's Tax Provisions was $3.64 million in FY2024 (+29.7%), $2.81 million in FY2023, -$400,000 in FY2022 and $843,000 in FY2021 (+1.3%).
- Quarterly Tax Provisions has run from a low of -$976,000 in fiscal Q4 2022 to a high of $2.07 million in fiscal Q4 2024 over five years.
- On a year-over-year basis, Tax Provisions increased in three of the last seven quarters, with an average decline of 10.5%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q1 2024, with growth of 256.5%; the weakest was fiscal Q2 2026, with a decline of 81.1%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $208,000 (Q2 2026), $1.28 million (Q1 2026) and $467,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 530.00 Mn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 57.85 Mn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | -991.68 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 101.00 Mn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | 452.52 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | 2.48 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | 21.90 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | 123.63 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | 3.14 Mn |
| 10 | 8X8 | 313.41 Mn | -23.90 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 528,000.00 |
| Sep 30, 2025 | 208,000.00 |
| Jun 30, 2025 | 1.28 Mn |
| Mar 31, 2025 | 467,000.00 |
| Dec 31, 2024 | 908,000.00 |
| Sep 30, 2024 | 1.10 Mn |
| Jun 30, 2024 | 676,000.00 |
| Mar 31, 2024 | 2.07 Mn |
| Dec 31, 2023 | 521,000.00 |
| Sep 30, 2023 | -389,000.00 |
| Jun 30, 2023 | 1.44 Mn |
| Mar 31, 2023 | 1.77 Mn |
| Dec 31, 2022 | 37,000.00 |
| Sep 30, 2022 | 599,000.00 |
| Jun 30, 2022 | 405,000.00 |
| Mar 31, 2022 | -976,000.00 |
| Dec 31, 2021 | 87,000.00 |
| Sep 30, 2021 | 233,000.00 |
| Jun 30, 2021 | 256,000.00 |
| Mar 31, 2021 | 177,000.00 |
8X8 Tax Provisions 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=tax-provisions&ticker=EGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();