Ooma (OOMA) Capital Expenditures (2014 - 2026)
Ooma's Capital Expenditures came in at $2.29 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 74.6% from $1.31 million a year earlier and up 55.7% from the prior quarter.
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Analysis
Ooma (OOMA) Capital Expenditures (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Ooma reported Capital Expenditures of $6.82 million, up 17.8% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $5.59 million, down 13.3% from FY2025.
- Capital Expenditures carries a five-year compound annual growth rate of 12.1% (FY2021 to FY2026).
- Going back by fiscal year, Capital Expenditures was $6.45 million in FY2025 (+4.7%), $6.16 million in FY2024 (+18.2%), $5.21 million in FY2023 (+24.0%) and $4.2 million in FY2022 (+33.0%).
- The fiscal Q2 2027 figure represents the highest quarterly Capital Expenditures in data going back to fiscal Q3 2015.
- Year-over-year, Capital Expenditures increased in four of the last eight quarters, with growth averaging 11.2%.
- The fastest year-over-year change in Capital Expenditures over five years came in fiscal Q1 2023 (growth of 119.4%), and the weakest in fiscal Q2 2026 (a decline of 24.7%).
- Business Quant data shows OOMA's Capital Expenditures at $1.47 million (Q1 2027), $1.58 million (Q4 2026) and $1.48 million (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 85.00 Mn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 4.45 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 3.07 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 14.00 Mn |
| 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 | 3.30 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | -17.21 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 10.59 Mn |
| 10 | Ooma | 584.57 Mn | 508.01 Mn | 50.99 Mn | 2.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.29 Mn |
| Apr 30, 2026 | 1.47 Mn |
| Jan 31, 2026 | 1.58 Mn |
| Oct 31, 2025 | 1.48 Mn |
| Jul 31, 2025 | 1.31 Mn |
| Apr 30, 2025 | 1.22 Mn |
| Jan 31, 2025 | 1.70 Mn |
| Oct 31, 2024 | 1.56 Mn |
| Jul 31, 2024 | 1.74 Mn |
| Apr 30, 2024 | 1.45 Mn |
| Jan 31, 2024 | 1.28 Mn |
| Oct 31, 2023 | 1.37 Mn |
| Jul 31, 2023 | 2.14 Mn |
| Apr 30, 2023 | 1.37 Mn |
| Jan 31, 2023 | 1.30 Mn |
| Oct 31, 2022 | 1.10 Mn |
| Jul 31, 2022 | 1.35 Mn |
| Apr 30, 2022 | 1.46 Mn |
| Jan 31, 2022 | 1.15 Mn |
| Oct 31, 2021 | 1.31 Mn |
API Access
Ooma Capital Expenditures 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=capital-expenditures&ticker=OOMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=OOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();