8X8 (EGHT) Amortization of Intangibles (2011 - 2026)
8X8 (EGHT) reported Amortization of Intangibles of $3.84 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 9.5% from $3.5 million a year earlier and up 6.1% from the prior quarter.
8X8 (EGHT) Amortization of Intangibles (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, 8X8's Amortization of Intangibles came in at $14.54 million, down 17.0% year-over-year; for FY2026 (ended Mar 31, 2026), it was $14.2 million, down 25.7% from FY2025.
- Amortization of Intangibles has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -12.0% (FY2021 to FY2026).
- By fiscal year, Amortization of Intangibles came in at $19.1 million in FY2025 (-6.4%), $20.4 million in FY2024 (-3.3%), $21.1 million in FY2023 (-26.9%) and $28.86 million in FY2022 (+7.2%).
- The fiscal Q1 2027 figure ranks as the highest quarterly Amortization of Intangibles since fiscal Q3 2025.
- Year over year, Amortization of Intangibles gained in two of the last eight quarters, with an average decline of 13.7%.
- The high point for year-over-year Amortization of Intangibles in five years was fiscal Q2 2022 (growth of 11.9%); the low point was fiscal Q3 2023 (a decline of 32.4%).
- Per Business Quant data, the three fiscal quarters before Q1 2027 came in at $3.62 million (Q4 2026), $3.58 million (Q3 2026) and $3.5 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | - |
| 4 | Twilio | 33.16 Bn | 22.79 Bn | 760.53 Mn | - |
| 5 | Zoom Communications | 26.58 Bn | -4.16 Bn | 985.50 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 | - |
| 9 | Open Text | 5.93 Bn | 1.47 Bn | 905.53 Mn | - |
| 10 | 8X8 | 316.52 Mn | -55.93 Mn | 114.56 Mn | 3.09 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 3.09 Mn |
| Jun 30, 2026 | 3.84 Mn |
| Mar 31, 2026 | 3.62 Mn |
| Dec 31, 2025 | 3.58 Mn |
| Sep 30, 2025 | 3.50 Mn |
| Jun 30, 2025 | 3.50 Mn |
| Mar 31, 2025 | 3.81 Mn |
| Dec 31, 2024 | 5.10 Mn |
| Sep 30, 2024 | 5.10 Mn |
| Jun 30, 2024 | 5.10 Mn |
| Mar 31, 2024 | 5.10 Mn |
| Dec 31, 2023 | 5.10 Mn |
| Sep 30, 2023 | 4.92 Mn |
| Jun 30, 2023 | 5.28 Mn |
| Mar 31, 2023 | 4.70 Mn |
| Dec 31, 2022 | 4.90 Mn |
| Sep 30, 2022 | 5.53 Mn |
| Jun 30, 2022 | 5.96 Mn |
| Mar 31, 2022 | 6.90 Mn |
| Dec 31, 2021 | 7.26 Mn |
8X8 Amortization of Intangibles 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=amortizatization-of-intangibles&ticker=EGHT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=EGHT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();