8X8 (EGHT) Depreciation and Depletion (2011 - 2026)
8X8's Depreciation and Depletion was $1.41 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), down 16.6% from $1.69 million a year earlier and down 7.8% from the prior quarter.
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Analysis
8X8 (EGHT) Depreciation and Depletion (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, 8X8's Depreciation and Depletion was $6.33 million through Jun 30, 2026, down 11.7% year-over-year; for FY2026 (ended Mar 31, 2026), it was $6.61 million, down 10.5% from FY2025.
- Depreciation and Depletion has now declined for four consecutive fiscal years, with a five-year compound annual growth rate of -10.2% (FY2021 to FY2026).
- In earlier fiscal years, Depreciation and Depletion was $7.39 million in FY2025 (-11.0%), $8.3 million in FY2024 (-20.7%), $10.46 million in FY2023 (-8.0%) and $11.37 million in FY2022 (+0.7%).
- The fiscal Q1 2027 figure marks the lowest quarterly Depreciation and Depletion since fiscal Q4 2016.
- Compared with a year earlier, Depreciation and Depletion has declined for 17 straight quarters, with an average decline of 11.5% over the last eight quarters.
- The best year-over-year quarter for Depreciation and Depletion over five years was fiscal Q4 2022 (growth of 4.3%); 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 Q1 2027 was $1.53 million (Q4 2026), $1.69 million (Q3 2026) and $1.7 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.55 Bn | 67.80 Bn | 6.00 Bn | - |
| 2 | Autodesk | 54.36 Bn | 42.40 Bn | 1.87 Bn | - |
| 3 | Atlassian | 37.46 Bn | 32.39 Bn | 1.51 Bn | 9.10 Mn |
| 4 | Twilio | 33.16 Bn | 22.79 Bn | 760.53 Mn | 18.40 Mn |
| 5 | Zoom Communications | 26.58 Bn | -4.16 Bn | 985.50 Mn | 27.30 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 | 23.30 Mn |
| 9 | Open Text | 5.93 Bn | 1.47 Bn | 905.53 Mn | - |
| 10 | 8X8 | 316.52 Mn | -55.93 Mn | 114.56 Mn | 1.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.34 Mn |
| Jun 30, 2026 | 1.41 Mn |
| Mar 31, 2026 | 1.53 Mn |
| 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 |
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();