8X8 (EGHT) Depreciation and Depletion (2011 - 2025)
8X8's Depreciation and Depletion was $1.69 million in fiscal Q3 2026 (quarter ended Dec 31, 2025), down 9.5% from $1.87 million a year earlier and down 0.7% from the prior quarter.
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Analysis
8X8 (EGHT) Depreciation and Depletion (2011 - 2025) Analysis & Trends
On a trailing twelve-month basis, 8X8's Depreciation and Depletion was $6.85 million through Dec 31, 2025, down 12.1% year-over-year; for FY2025 (ended Mar 31, 2025), it was $7.39 million, down 11.0% from FY2024.
- Depreciation and Depletion has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In earlier fiscal years, Depreciation and Depletion was $8.3 million in FY2024 (-20.7%), $10.46 million in FY2023 (-8.0%), $11.37 million in FY2022 (+0.7%) and $11.3 million in FY2021 (+20.7%).
- The fiscal Q3 2026 figure marks the lowest quarterly Depreciation and Depletion since fiscal Q4 2017.
- Compared with a year earlier, Depreciation and Depletion has declined for 15 straight quarters, with an average decline of 10.3% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q4 2021 (growth of 8.2%); the worst was fiscal Q2 2024 (a decline of 30.7%).
- Per Business Quant data, EGHT's Depreciation and Depletion in the three fiscal quarters before Q3 2026 was $1.7 million (Q2 2026), $1.69 million (Q1 2026) and $1.77 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | - |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 8.30 Mn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 17.70 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | - |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 27.30 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | - |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 6.26 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 23.00 Mn |
| 10 | 8X8 | 317.59 Mn | -19.73 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.69 Mn |
| Sep 30, 2025 | 1.70 Mn |
| Jun 30, 2025 | 1.69 Mn |
| Mar 31, 2025 | 1.77 Mn |
| Dec 31, 2024 | 1.87 Mn |
| Sep 30, 2024 | 1.85 Mn |
| Jun 30, 2024 | 1.91 Mn |
| Mar 31, 2024 | 2.17 Mn |
| Dec 31, 2023 | 2.04 Mn |
| Sep 30, 2023 | 1.96 Mn |
| Jun 30, 2023 | 2.13 Mn |
| Mar 31, 2023 | 2.41 Mn |
| Dec 31, 2022 | 2.43 Mn |
| Sep 30, 2022 | 2.84 Mn |
| Jun 30, 2022 | 2.79 Mn |
| Mar 31, 2022 | 2.89 Mn |
| Dec 31, 2021 | 2.72 Mn |
| Sep 30, 2021 | 2.85 Mn |
| Jun 30, 2021 | 2.92 Mn |
| Mar 31, 2021 | 2.77 Mn |
API Access
8X8 Depreciation and Depletion 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=depreciation-and-depletion&ticker=EGHT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();