Ooma (OOMA) Total Current Liabilities (2015 - 2026)
Ooma (OOMA) recorded Total Current Liabilities of $72.63 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 44.2% from $50.36 million a year earlier and up 1.3% from the prior quarter.
Ooma (OOMA) Total Current Liabilities (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ooma reported Total Current Liabilities of $71.73 million, up 38.8% from FY2025.
- Annual Total Current Liabilities has a five-year compound annual growth rate of 9.0% (FY2021 to FY2026).
- Across earlier fiscal years, Total Current Liabilities came in at $51.66 million in FY2025 (+0.4%), $51.48 million in FY2024 (-10.3%), $57.4 million in FY2023 (+22.3%) and $46.93 million in FY2022 (+0.6%).
- The fiscal Q2 2027 figure is the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2015.
- On a year-over-year basis, Total Current Liabilities has increased for five consecutive quarters, with growth averaging 16.1% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 45.4% in fiscal Q1 2027, against a decline of 11.9% in fiscal Q1 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $71.66 million (Q1 2027), $71.73 million (Q4 2026) and $51.68 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 11.89 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 3.57 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 810.69 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 6.63 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 2.12 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 806.68 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 1.18 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 1.10 Bn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 662.66 Mn |
| 10 | Ooma | 584.57 Mn | 508.01 Mn | 50.99 Mn | 72.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 72.63 Mn |
| Apr 30, 2026 | 71.66 Mn |
| Jan 31, 2026 | 71.73 Mn |
| Oct 31, 2025 | 51.68 Mn |
| Jul 31, 2025 | 50.36 Mn |
| Apr 30, 2025 | 49.27 Mn |
| Jan 31, 2025 | 51.66 Mn |
| Oct 31, 2024 | 50.86 Mn |
| Jul 31, 2024 | 48.48 Mn |
| Apr 30, 2024 | 49.41 Mn |
| Jan 31, 2024 | 51.48 Mn |
| Oct 31, 2023 | 53.65 Mn |
| Jul 31, 2023 | 52.28 Mn |
| Apr 30, 2023 | 56.10 Mn |
| Jan 31, 2023 | 57.40 Mn |
| Oct 31, 2022 | 54.11 Mn |
| Jul 31, 2022 | 53.56 Mn |
| Apr 30, 2022 | 45.54 Mn |
| Jan 31, 2022 | 46.93 Mn |
| Oct 31, 2021 | 48.26 Mn |
Ooma Total Current 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-current-liabilities&ticker=OOMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=OOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();