Ooma (OOMA) Long-Term Debt Repayments (2014 - 2026)
Ooma's Long-Term Debt Repayments came in at $6.5 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 30.0% from the prior quarter.
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Analysis
Ooma (OOMA) Long-Term Debt Repayments (2014 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Ooma reported Long-Term Debt Repayments of $20 million.
- Going back by fiscal year, Long-Term Debt Repayments was $16 million in FY2025 (+700.0%) and $2 million in FY2024.
- The fiscal Q2 2027 figure represents the highest quarterly Long-Term Debt Repayments in data going back to fiscal Q3 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 97.58 Bn | 72.83 Bn | 6.00 Bn | 250.00 Mn |
| 2 | Atlassian | 55.96 Bn | 49.24 Bn | 1.53 Bn | - |
| 3 | Autodesk | 50.57 Bn | 38.61 Bn | 1.87 Bn | - |
| 4 | Twilio | 39.35 Bn | 29.42 Bn | 725.87 Mn | 64,000.00 |
| 5 | Zoom Communications | 28.55 Bn | -2.24 Bn | 985.50 Mn | - |
| 6 | Figma | 11.38 Bn | 4.89 Bn | 309.61 Mn | - |
| 7 | Dropbox | 8.07 Bn | 3.71 Bn | 506.50 Mn | 35.30 Mn |
| 8 | Nice | 7.10 Bn | 5.56 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.67 Bn | 6.16 Bn | 472.31 Mn | 90.32 Mn |
| 10 | Ooma | 540.55 Mn | 464.00 Mn | 50.99 Mn | 6.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.50 Mn |
| Apr 30, 2026 | 5.00 Mn |
| Jan 31, 2025 | 3.00 Mn |
| Oct 31, 2024 | 5.50 Mn |
| Jul 31, 2024 | 3.00 Mn |
| Apr 30, 2024 | 4.50 Mn |
| Apr 30, 2016 | 628,000.00 |
| Jan 31, 2016 | 163,000.00 |
| Apr 30, 2015 | 534,000.00 |
| Jan 31, 2015 | 427,000.00 |
| Oct 31, 2014 | 348,000.00 |
API Access
Ooma Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=OOMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=OOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();