Ooma (OOMA) Operating Expenses (2015 - 2026)
Ooma (OOMA) recorded Operating Expenses of $47 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 19.5% from $39.31 million a year earlier but down 0.3% from the prior quarter.
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Analysis
Ooma (OOMA) Operating Expenses (2015 - 2026) Analysis & Trends
On a TTM basis, Ooma's Operating Expenses came in at $177.56 million as of Jul 31, 2026, up 10.0% year-over-year; for FY2026 (ended Jan 31, 2026), it was $162.98 million, unchanged from FY2025.
- Annual Operating Expenses has a five-year compound annual growth rate of 8.7% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $162.96 million in FY2025 (+7.8%), $151.23 million in FY2024 (+5.5%), $143.41 million in FY2023 (+19.1%) and $120.37 million in FY2022 (+11.9%).
- Quarterly Operating Expenses has ranged from $30.63 million in fiscal Q3 2022 to $47.16 million in fiscal Q1 2027 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for three consecutive quarters, with growth averaging 5.8% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 26.6% in fiscal Q3 2023, against a decline of 5.1% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $47.16 million (Q1 2027), $43.97 million (Q4 2026) and $39.44 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 3.64 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.32 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 641.32 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 1.27 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 671.18 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 426.90 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 341.70 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 765.06 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 422.02 Mn |
| 10 | Ooma | 584.57 Mn | 508.01 Mn | 50.99 Mn | 47.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 47.00 Mn |
| Apr 30, 2026 | 47.16 Mn |
| Jan 31, 2026 | 43.97 Mn |
| Oct 31, 2025 | 39.44 Mn |
| Jul 31, 2025 | 39.31 Mn |
| Apr 30, 2025 | 40.27 Mn |
| Jan 31, 2025 | 40.25 Mn |
| Oct 31, 2024 | 41.56 Mn |
| Jul 31, 2024 | 40.30 Mn |
| Apr 30, 2024 | 40.85 Mn |
| Jan 31, 2024 | 40.13 Mn |
| Oct 31, 2023 | 37.96 Mn |
| Jul 31, 2023 | 36.58 Mn |
| Apr 30, 2023 | 36.56 Mn |
| Jan 31, 2023 | 36.46 Mn |
| Oct 31, 2022 | 38.78 Mn |
| Jul 31, 2022 | 35.46 Mn |
| Apr 30, 2022 | 32.71 Mn |
| Jan 31, 2022 | 30.93 Mn |
| Oct 31, 2021 | 30.63 Mn |
API Access
Ooma Operating Expenses 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-expenses&ticker=OOMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=OOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();