Open Text (OTEX) Net Income (2009 - 2026)
Open Text (OTEX) posted Net Income of $155.72 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 439.1% from $28.88 million a year earlier but down 9.9% from the prior quarter.
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Analysis
Open Text (OTEX) Net Income (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text's Net Income came in at $643.26 million, up 47.5% from FY2025.
- Annual Net Income shows a five-year compound annual growth rate of 15.7% (FY2021 to FY2026).
- In prior fiscal years, Open Text's Net Income was $436.07 million in FY2025 (-6.3%), $465.28 million in FY2024 (+209.0%), $150.57 million in FY2023 (-62.1%) and $397.26 million in FY2022 (+27.8%).
- Quarterly Net Income has run from a low of -$116.89 million in fiscal Q1 2023 to a high of $258.52 million in fiscal Q2 2023 over five years.
- On a year-over-year basis, Net Income increased in five of the last eight quarters, with growth averaging 124.0%.
- The strongest year-over-year quarter for Net Income in the past five years was fiscal Q2 2025, with growth of 509.2%; the weakest was fiscal Q4 2025, with a decline of 88.4%.
- According to Business Quant data, Net Income for the three prior fiscal quarters was $172.75 million (Q3 2026), $168.13 million (Q2 2026) and $146.66 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 1.83 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 139.08 Mn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 1.07 Bn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 492.00 Mn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | 1.54 Bn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | -112.15 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | 95.80 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | 130.04 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | 39.12 Mn |
| 10 | Open Text | 5.43 Bn | 861.81 Mn | 1.01 Bn | 155.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.72 Mn |
| Mar 31, 2026 | 172.75 Mn |
| Dec 31, 2025 | 168.13 Mn |
| Sep 30, 2025 | 146.66 Mn |
| Jun 30, 2025 | 28.88 Mn |
| Mar 31, 2025 | 92.85 Mn |
| Dec 31, 2024 | 229.91 Mn |
| Sep 30, 2024 | 84.42 Mn |
| Jun 30, 2024 | 248.27 Mn |
| Mar 31, 2024 | 98.33 Mn |
| Dec 31, 2023 | 37.74 Mn |
| Sep 30, 2023 | 80.95 Mn |
| Jun 30, 2023 | -48.69 Mn |
| Mar 31, 2023 | 57.61 Mn |
| Dec 31, 2022 | 258.52 Mn |
| Sep 30, 2022 | -116.89 Mn |
| Jun 30, 2022 | 102.24 Mn |
| Mar 31, 2022 | 74.72 Mn |
| Dec 31, 2021 | 88.34 Mn |
| Sep 30, 2021 | 131.97 Mn |
API Access
Open Text Net Income 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=net-income&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "ticker": "OTEX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=net-income&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();