Ooma (OOMA) Receivables (2015 - 2026)
Ooma (OOMA) posted Receivables of $11.37 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 31.9% from $8.62 million a year earlier but down 7.9% from the prior quarter.
Ooma (OOMA) Receivables (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ooma's Receivables came in at $11.83 million, up 47.2% from FY2025.
- Annual Receivables shows a five-year compound annual growth rate of 17.7% (FY2021 to FY2026).
- In prior fiscal years, Ooma's Receivables was $8.04 million in FY2025 (-18.5%), $9.86 million in FY2024 (+38.3%), $7.13 million in FY2023 (-2.4%) and $7.31 million in FY2022 (+39.8%).
- Quarterly Receivables has run from a low of $5.62 million in fiscal Q1 2023 to a high of $12.34 million in fiscal Q1 2027 over five years.
- On a year-over-year basis, Receivables has increased in each of the last five quarters, with growth averaging 11.1% over the last eight quarters.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q1 2024, with growth of 55.4%; the weakest was fiscal Q1 2026, with a decline of 24.6%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $12.34 million (Q1 2027), $11.83 million (Q4 2026) and $8.83 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 2.15 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 1.27 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 760.07 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 684.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 621.36 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 190.88 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 76.30 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 836.59 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 493.49 Mn |
| 10 | Ooma | 584.57 Mn | 508.01 Mn | 50.99 Mn | 11.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 11.37 Mn |
| Apr 30, 2026 | 12.34 Mn |
| Jan 31, 2026 | 11.83 Mn |
| Oct 31, 2025 | 8.83 Mn |
| Jul 31, 2025 | 8.62 Mn |
| Apr 30, 2025 | 8.17 Mn |
| Jan 31, 2025 | 8.04 Mn |
| Oct 31, 2024 | 8.23 Mn |
| Jul 31, 2024 | 8.19 Mn |
| Apr 30, 2024 | 10.83 Mn |
| Jan 31, 2024 | 9.86 Mn |
| Oct 31, 2023 | 9.22 Mn |
| Jul 31, 2023 | 8.61 Mn |
| Apr 30, 2023 | 8.73 Mn |
| Jan 31, 2023 | 7.13 Mn |
| Oct 31, 2022 | 7.13 Mn |
| Jul 31, 2022 | 6.59 Mn |
| Apr 30, 2022 | 5.62 Mn |
| Jan 31, 2022 | 7.31 Mn |
| Oct 31, 2021 | 6.29 Mn |
Ooma Receivables 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=receivables&ticker=OOMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=OOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();