Ooma (OOMA) Operating Margin (2015 - 2026)
Ooma's Operating Margin came in at 4.79% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 3.41 percentage points from 1.38% a year earlier and up 0.47 percentage points from the prior quarter.
Ooma (OOMA) Operating Margin (2015 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Ooma reported Operating Margin of 3.55%, up 4.22 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 1.56%, up 4.26 percentage points from FY2025.
- Operating Margin carries a five-year change of +3.20 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Operating Margin was -2.70% in FY2025 (-1.01 pp), -1.69% in FY2024 (+0.97 pp), -2.66% in FY2023 (-1.66 pp) and -1.00% in FY2022 (+0.64 pp).
- The fiscal Q2 2027 figure represents the highest quarterly Operating Margin in data going back to fiscal Q1 2016.
- Year-over-year, Operating Margin has increased for seven consecutive quarters, with an average year-over-year change of +3.28 percentage points over the last eight quarters.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q3 2026 (a gain of 5.42 percentage points), and the weakest in fiscal Q3 2023 (a drop of 4.27 percentage points).
- Business Quant data shows OOMA's Operating Margin at 4.32% (Q1 2027), 2.82% (Q4 2026) and 1.91% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 34.82% |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 11.93% |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 5.64% |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 29.28% |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 24.61% |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | -31.69% |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 26.10% |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 14.88% |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 7.65% |
| 10 | Ooma | 584.57 Mn | 508.01 Mn | 50.99 Mn | 4.79% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.79% |
| Apr 30, 2026 | 4.32% |
| Jan 31, 2026 | 2.82% |
| Oct 31, 2025 | 1.91% |
| Jul 31, 2025 | 1.38% |
| Apr 30, 2025 | -0.09% |
| Jan 31, 2025 | -0.49% |
| Oct 31, 2024 | -3.51% |
| Jul 31, 2024 | -2.49% |
| Apr 30, 2024 | -4.38% |
| Jan 31, 2024 | -3.86% |
| Oct 31, 2023 | -1.70% |
| Jul 31, 2023 | 0.01% |
| Apr 30, 2023 | -1.07% |
| Jan 31, 2023 | -0.88% |
| Oct 31, 2022 | -5.04% |
| Jul 31, 2022 | -3.13% |
| Apr 30, 2022 | -1.51% |
| Jan 31, 2022 | -0.25% |
| Oct 31, 2021 | -0.77% |
Ooma Operating Margin 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=operating-margin&ticker=OOMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=OOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();