Ooma (OOMA) Non-Current Assets (2015 - 2026)
Ooma (OOMA) recorded Non-Current Assets of $157.13 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 73.9% from $90.34 million a year earlier but down 1.5% from the prior quarter.
Ooma (OOMA) Non-Current Assets (2015 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Ooma reported Non-Current Assets of $160.8 million, up 72.9% from FY2025.
- Annual Non-Current Assets has a five-year compound annual growth rate of 37.2% (FY2021 to FY2026).
- Across earlier fiscal years, Non-Current Assets came in at $93.02 million in FY2025 (-2.7%), $95.57 million in FY2024 (+69.5%), $56.4 million in FY2023 (+30.5%) and $43.22 million in FY2022 (+30.6%).
- Quarterly Non-Current Assets has ranged from $42.99 million in fiscal Q3 2022 to $160.8 million in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for three consecutive quarters, with growth averaging 24.6% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 74.4% in fiscal Q1 2027, against a decline of 6.5% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $159.49 million (Q1 2027), $160.8 million (Q4 2026) and $88.46 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 20.82 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 3.31 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 7.09 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 7.31 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 5.47 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 374.23 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 1.56 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 3.65 Bn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 648.15 Mn |
| 10 | Ooma | 584.57 Mn | 508.01 Mn | 50.99 Mn | 157.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 157.13 Mn |
| Apr 30, 2026 | 159.49 Mn |
| Jan 31, 2026 | 160.80 Mn |
| Oct 31, 2025 | 88.46 Mn |
| Jul 31, 2025 | 90.34 Mn |
| Apr 30, 2025 | 91.47 Mn |
| Jan 31, 2025 | 93.02 Mn |
| Oct 31, 2024 | 94.52 Mn |
| Jul 31, 2024 | 95.90 Mn |
| Apr 30, 2024 | 97.85 Mn |
| Jan 31, 2024 | 95.57 Mn |
| Oct 31, 2023 | 97.09 Mn |
| Jul 31, 2023 | 60.79 Mn |
| Apr 30, 2023 | 61.68 Mn |
| Jan 31, 2023 | 56.40 Mn |
| Oct 31, 2022 | 56.29 Mn |
| Jul 31, 2022 | 57.88 Mn |
| Apr 30, 2022 | 43.39 Mn |
| Jan 31, 2022 | 43.22 Mn |
| Oct 31, 2021 | 42.99 Mn |
Ooma Non-Current Assets 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=non-current-assets&ticker=OOMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=OOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();