Ooma (OOMA) Accumulated Expenses (2015 - 2026)
Ooma's Accumulated Expenses was $42.02 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 62.7% from $25.82 million a year earlier and up 18.1% from the prior quarter.
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Analysis
Ooma (OOMA) Accumulated Expenses (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Accumulated Expenses at Ooma came in at $39.29 million, up 35.2% from FY2025.
- Accumulated Expenses shows a five-year compound annual growth rate of 11.6% (FY2021 to FY2026).
- In earlier fiscal years, Accumulated Expenses was $29.07 million in FY2025 (+9.3%), $26.59 million in FY2024 (-0.5%), $26.73 million in FY2023 (+17.1%) and $22.82 million in FY2022 (+0.4%).
- The fiscal Q2 2027 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2015.
- Compared with a year earlier, Accumulated Expenses has increased for seven straight quarters, with growth averaging 21.1% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q2 2027 (growth of 62.7%); the worst was fiscal Q1 2023 (a decline of 8.8%).
- Per Business Quant data, OOMA's Accumulated Expenses in the three fiscal quarters before Q2 2027 was $35.59 million (Q1 2027), $39.29 million (Q4 2026) and $28.31 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn |
| 10 | Ooma | 563.59 Mn | 487.03 Mn | 50.99 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 42.02 Mn |
| Apr 30, 2026 | 35.59 Mn |
| Jan 31, 2026 | 39.29 Mn |
| Oct 31, 2025 | 28.31 Mn |
| Jul 31, 2025 | 25.82 Mn |
| Apr 30, 2025 | 22.76 Mn |
| Jan 31, 2025 | 29.07 Mn |
| Oct 31, 2024 | 27.15 Mn |
| Jul 31, 2024 | 24.39 Mn |
| Apr 30, 2024 | 22.14 Mn |
| Jan 31, 2024 | 26.59 Mn |
| Oct 31, 2023 | 29.36 Mn |
| Jul 31, 2023 | 22.38 Mn |
| Apr 30, 2023 | 20.60 Mn |
| Jan 31, 2023 | 26.73 Mn |
| Oct 31, 2022 | 24.81 Mn |
| Jul 31, 2022 | 22.90 Mn |
| Apr 30, 2022 | 17.20 Mn |
| Jan 31, 2022 | 22.82 Mn |
| Oct 31, 2021 | 22.33 Mn |
API Access
Ooma Accumulated 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=accumulated-expenses&ticker=OOMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=OOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();