Ooma (OOMA) Accumulated Expenses (2015 - 2026)
Ooma's quarterly Accumulated Expenses came in at $39.3 million in Q1 2026, up 154.89% year-on-year from $15.4 million in Q1 2025, and up 219.76% quarter-over-quarter from $12.3 million in Q4 2025.
Ooma has reported Accumulated Expenses for 12 years, with the latest figure at $39.3 million in Q1 2026.
- For the quarter ending Q1 2026, Accumulated Expenses rose 154.89% year-over-year to $39.3 million; the trailing twelve-month figure through Jan 2026 stood at $39.3 million (up 154.89% YoY), and the FY2026 full-year result was $39.3 million, up 154.89% from the prior year.
- Accumulated Expenses for Q1 2026 stood at $39.3 million, up from $12.3 million in the prior quarter.
- The five-year high for Accumulated Expenses was $39.3 million in Q1 2026, with the low at $8.4 million in Q2 2025.
- Average Accumulated Expenses over 5 years is $18.8 million, with a median of $17.2 million recorded in 2022.
- Year-over-year, Accumulated Expenses soared 161.42% in 2024 and slumped 62.1% in 2025.
- Tracing OOMA's Accumulated Expenses over 5 years: stood at $24.8 million in 2022, then climbed by 18.36% to $29.4 million in 2023, then fell by 7.53% to $27.1 million in 2024, then tumbled by 54.74% to $12.3 million in 2025, then jumped by 219.76% to $39.3 million in 2026.
- The last three Accumulated Expenses figures came in at $39.3 million (Q1 2026), $12.3 million (Q4 2025), and $11.1 million (Q3 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Sap Se | 253.17 Bn | 235.20 Bn | 8.16 Bn |
| 2 | Salesforce | 171.07 Bn | 161.50 Bn | 8.69 Bn |
| 3 | Uber Technologies | 151.10 Bn | 150.06 Bn | 11.88 Bn |
| 4 | Shopify | 134.25 Bn | 128.50 Bn | 1.55 Bn |
| 5 | ServiceNow | 105.72 Bn | 100.54 Bn | 2.83 Bn |
| 6 | Cadence Design Systems | 101.64 Bn | 100.23 Bn | 1.26 Bn |
| 7 | Adobe | 100.35 Bn | 93.46 Bn | 5.73 Bn |
| 8 | Automatic Data Processing | 90.91 Bn | 87.68 Bn | 2.87 Bn |
| 9 | Intuit | 88.30 Bn | 81.52 Bn | 6.77 Bn |
| 10 | Ooma | 526.77 Mn | 506.63 Mn | 46.07 Mn |
Historic Data
Download Data| Date | Value |
|---|---|
| Jan 31, 2026 | 39.29 Mn |
| Oct 31, 2025 | 12.29 Mn |
| Jul 31, 2025 | 11.09 Mn |
| Apr 30, 2025 | 8.39 Mn |
| Jan 31, 2025 | 15.42 Mn |
| Oct 31, 2024 | 27.15 Mn |
| Jul 31, 2024 | 24.39 Mn |
| Apr 30, 2024 | 22.14 Mn |
| Jan 31, 2024 | 12.30 Mn |
| Oct 31, 2023 | 29.36 Mn |
| Jul 31, 2023 | 9.33 Mn |
| Apr 30, 2023 | 20.60 Mn |
| Jan 31, 2023 | 26.73 Mn |
| Oct 31, 2022 | 24.81 Mn |
| Jul 31, 2022 | 8.91 Mn |
| Apr 30, 2022 | 17.20 Mn |
| Jan 31, 2022 | 10.85 Mn |
| Oct 31, 2021 | 9.60 Mn |
| Jul 31, 2021 | 20.90 Mn |
| Apr 30, 2021 | 18.86 Mn |
| Jan 31, 2021 | 11.06 Mn |
| Oct 31, 2020 | 21.43 Mn |
| Jul 31, 2020 | 21.51 Mn |
| Apr 30, 2020 | 17.44 Mn |
| Jan 31, 2020 | 22.58 Mn |
| Oct 31, 2019 | 21.72 Mn |
| Jul 31, 2019 | 19.57 Mn |
| Apr 30, 2019 | 17.08 Mn |
| Jan 31, 2019 | 19.05 Mn |
| Oct 31, 2018 | 17.47 Mn |
| Jul 31, 2018 | 4.82 Mn |
| Apr 30, 2018 | 16.19 Mn |
| Jan 31, 2018 | 5.42 Mn |
| Oct 31, 2017 | 3.99 Mn |
| Jul 31, 2017 | 100,000.00 |
| Apr 30, 2017 | 2.42 Mn |
| Jan 31, 2017 | 11.58 Mn |
| Oct 31, 2016 | 100,000.00 |
| Jul 31, 2016 | 10.81 Mn |
| Apr 30, 2016 | 2.17 Mn |
| Jan 31, 2016 | 3.56 Mn |
| Oct 31, 2015 | 2.76 Mn |
| Jul 31, 2015 | 2.41 Mn |
| Jan 31, 2015 | 300,000.00 |