Ooma (OOMA) Total Liabilities (2015 - 2026)
Ooma (OOMA) recorded Total Liabilities of $128.04 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 106.6% from $61.97 million a year earlier but down 2.2% from the prior quarter.
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Analysis
Ooma (OOMA) Total Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ooma reported Total Liabilities of $134.62 million, up 110.6% from FY2025.
- Annual Total Liabilities has a five-year compound annual growth rate of 22.1% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $63.92 million in FY2025 (-21.3%), $81.17 million in FY2024 (+19.6%), $67.86 million in FY2023 (+16.6%) and $58.2 million in FY2022 (+17.5%).
- Quarterly Total Liabilities has ranged from $56.43 million in fiscal Q1 2023 to $134.62 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Total Liabilities has increased for three consecutive quarters, with growth averaging 31.8% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 114.5% in fiscal Q1 2027, against a decline of 22.6% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $130.98 million (Q1 2027), $134.62 million (Q4 2026) and $62.72 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 18.22 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 5.05 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 1.86 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 9.60 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 2.28 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 873.37 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 5.01 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 1.99 Bn |
| 10 | Ooma | 584.57 Mn | 508.01 Mn | 50.99 Mn | 128.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 128.04 Mn |
| Apr 30, 2026 | 130.98 Mn |
| Jan 31, 2026 | 134.62 Mn |
| Oct 31, 2025 | 62.72 Mn |
| Jul 31, 2025 | 61.97 Mn |
| Apr 30, 2025 | 61.06 Mn |
| Jan 31, 2025 | 63.92 Mn |
| Oct 31, 2024 | 66.10 Mn |
| Jul 31, 2024 | 69.63 Mn |
| Apr 30, 2024 | 74.25 Mn |
| Jan 31, 2024 | 81.17 Mn |
| Oct 31, 2023 | 85.36 Mn |
| Jul 31, 2023 | 64.98 Mn |
| Apr 30, 2023 | 70.11 Mn |
| Jan 31, 2023 | 67.86 Mn |
| Oct 31, 2022 | 64.69 Mn |
| Jul 31, 2022 | 64.68 Mn |
| Apr 30, 2022 | 56.43 Mn |
| Jan 31, 2022 | 58.20 Mn |
| Oct 31, 2021 | 59.51 Mn |
API Access
Ooma Total Liabilities 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=total-liabilities&ticker=OOMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=OOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();