Ooma (OOMA) Amortizatization of Intangibles (2014 - 2026)
Ooma's Amortizatization of Intangibles came in at $3 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 114.3% from $1.4 million a year earlier but down 6.3% from the prior quarter.
Ooma (OOMA) Amortizatization of Intangibles (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Ooma reported Amortizatization of Intangibles of $9.99 million, up 78.1% year-over-year; for FY2026 (ended Jan 31, 2026), it was $6.61 million, up 13.9% from FY2025.
- Amortizatization of Intangibles has increased in each of the last four fiscal years, with a five-year compound annual growth rate of 38.3% (FY2021 to FY2026).
- Going back by fiscal year, Amortizatization of Intangibles was $5.8 million in FY2025 (+56.3%), $3.71 million in FY2024 (+61.3%), $2.3 million in FY2023 (+76.4%) and $1.3 million in FY2022 (unchanged).
- The five-year range for quarterly Amortizatization of Intangibles is $300,000 (fiscal Q3 2022) to $3.2 million (fiscal Q1 2027).
- Year-over-year, Amortizatization of Intangibles has increased for three consecutive quarters, with growth averaging 46.2% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in fiscal Q3 2023 (growth of 166.7%), and the weakest in fiscal Q2 2026 (a decline of 6.7%).
- Business Quant data shows OOMA's Amortizatization of Intangibles at $3.2 million (Q1 2027), $2.39 million (Q4 2026) and $1.41 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | - |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | - |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | - |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | - |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 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 | - |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | - |
| 10 | Ooma | 574.36 Mn | 497.80 Mn | 50.99 Mn | 3.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 3.00 Mn |
| Apr 30, 2026 | 3.20 Mn |
| Jan 31, 2026 | 2.39 Mn |
| Oct 31, 2025 | 1.41 Mn |
| Jul 31, 2025 | 1.40 Mn |
| Apr 30, 2025 | 1.41 Mn |
| Jan 31, 2025 | 1.40 Mn |
| Oct 31, 2024 | 1.41 Mn |
| Jul 31, 2024 | 1.50 Mn |
| Apr 30, 2024 | 1.50 Mn |
| Jan 31, 2024 | 1.49 Mn |
| Oct 31, 2023 | 800,000.00 |
| Jul 31, 2023 | 700,000.00 |
| Apr 30, 2023 | 741,000.00 |
| Jan 31, 2023 | 800,000.00 |
| Oct 31, 2022 | 800,000.00 |
| Jul 31, 2022 | 400,000.00 |
| Apr 30, 2022 | 326,000.00 |
| Jan 31, 2022 | 304,000.00 |
| Oct 31, 2021 | 300,000.00 |
Ooma Amortizatization 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=OOMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "OOMA", "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=OOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();