Ooma (OOMA) EPS (Diluted) (2021 - 2026)
Ooma's EPS (Diluted) came in at $0.10 for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 133.1% from $0.04 a year earlier and up 13.2% from the prior quarter.
Ooma (OOMA) EPS (Diluted) (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Ooma reported EPS (Diluted) of $0.38; for FY2026 (ended Jan 31, 2026), it came in at $0.23.
- Going back by fiscal year, EPS (Diluted) was -$0.26 in FY2025, -$0.03 in FY2024, -$0.15 in FY2023 and -$0.07 in FY2022.
- The five-year range for quarterly EPS (Diluted) is -$0.12 (fiscal Q4 2024) to $0.14 (fiscal Q4 2026).
- Business Quant data shows OOMA's EPS (Diluted) at $0.09 (Q1 2027), $0.14 (Q4 2026) and $0.05 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 4.62 |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 0.53 |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 6.68 |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 2.33 |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 5.15 |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | -0.21 |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 0.42 |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 2.05 |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 0.45 |
| 10 | Ooma | 584.57 Mn | 508.01 Mn | 50.99 Mn | 0.10 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 0.10 |
| Apr 30, 2026 | 0.09 |
| Jan 31, 2026 | 0.14 |
| Oct 31, 2025 | 0.05 |
| Jul 31, 2025 | 0.04 |
| Apr 30, 2025 | -0.01 |
| Jan 31, 2025 | -0.01 |
| Oct 31, 2024 | -0.09 |
| Jul 31, 2024 | -0.08 |
| Apr 30, 2024 | -0.08 |
| Jan 31, 2024 | -0.12 |
| Oct 31, 2023 | 0.09 |
| Jul 31, 2023 | 0.01 |
| Apr 30, 2023 | -0.01 |
| Jan 31, 2023 | -0.02 |
| Oct 31, 2022 | -0.11 |
| Jul 31, 2022 | 0.01 |
| Apr 30, 2022 | -0.03 |
| Jan 31, 2022 | 0.00 |
| Oct 31, 2021 | -0.01 |
Ooma EPS (Diluted) 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=eps-diluted&ticker=OOMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=OOMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();