Ooma (OOMA) Enterprise Value (2015 - 2026)
Ooma (OOMA) recorded Enterprise Value of $582.77 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 97.9% from $294.53 million a year earlier and up 35.0% from the prior quarter.
Ooma (OOMA) Enterprise Value (2015 - 2026) Analysis & Trends
On a TTM basis, Ooma's Enterprise Value came in at $523.74 million as of Jul 31, 2026, up 117.7% year-over-year; for FY2026 (ended Jan 31, 2026), it was $301.81 million, down 19.1% from FY2025.
- Annual Enterprise Value has a five-year compound annual growth rate of 1.5% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $372.99 million in FY2025 (+41.4%), $263.78 million in FY2024 (-20.6%), $332.39 million in FY2023 (-16.9%) and $399.88 million in FY2022 (+42.7%).
- The fiscal Q2 2027 figure is the highest quarterly Enterprise Value in data going back to fiscal Q2 2016.
- On a year-over-year basis, Enterprise Value rose in six of the last eight quarters, with growth averaging 33.2%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 97.9% in fiscal Q2 2027, against a decline of 39.6% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $431.64 million (Q1 2027), $301.81 million (Q4 2026) and $288.23 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn |
| 10 | Ooma | 584.57 Mn | 508.01 Mn | 50.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 582.77 Mn |
| Apr 30, 2026 | 431.64 Mn |
| Jan 31, 2026 | 301.81 Mn |
| Oct 31, 2025 | 288.23 Mn |
| Jul 31, 2025 | 294.53 Mn |
| Apr 30, 2025 | 318.56 Mn |
| Jan 31, 2025 | 372.99 Mn |
| Oct 31, 2024 | 305.79 Mn |
| Jul 31, 2024 | 262.13 Mn |
| Apr 30, 2024 | 170.80 Mn |
| Jan 31, 2024 | 263.78 Mn |
| Oct 31, 2023 | 262.61 Mn |
| Jul 31, 2023 | 354.53 Mn |
| Apr 30, 2023 | 282.81 Mn |
| Jan 31, 2023 | 332.39 Mn |
| Oct 31, 2022 | 377.97 Mn |
| Jul 31, 2022 | 267.43 Mn |
| Apr 30, 2022 | 280.23 Mn |
| Jan 31, 2022 | 399.88 Mn |
| Oct 31, 2021 | 516.43 Mn |
Ooma Enterprise Value 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=enterprise-value&ticker=OOMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=OOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();