Open Text (OTEX) Operating Income (2009 - 2026)
Open Text's Operating Income was $319.68 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 76.1% from $181.56 million a year earlier and up 58.9% from the prior quarter.
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Analysis
Open Text (OTEX) Operating Income (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Operating Income at Open Text came in at $1.08 billion, up 21.3% from FY2025.
- Operating Income has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 7.9% (FY2021 to FY2026).
- In earlier fiscal years, Operating Income was $892.69 million in FY2025 (+0.6%), $887.09 million in FY2024 (+71.8%), $516.29 million in FY2023 (-19.9%) and $644.77 million in FY2022 (-13.0%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Income in data going back to fiscal Q3 2009.
- Compared with a year earlier, Operating Income was higher in three of the last eight quarters, with growth averaging 12.7%.
- The best year-over-year quarter for Operating Income over five years was fiscal Q3 2024 (growth of 254.9%); the worst was fiscal Q3 2023 (a decline of 51.4%).
- Per Business Quant data, OTEX's Operating Income in the three fiscal quarters before Q4 2026 was $201.21 million (Q3 2026), $291.76 million (Q2 2026) and $269.95 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn | 2.35 Bn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn | 210.72 Mn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn | 599.00 Mn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn | 84.55 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn | 314.32 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn | -117.29 Mn |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn | 164.80 Mn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | 230.75 Mn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn | 50.29 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn | 319.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 319.68 Mn |
| Mar 31, 2026 | 201.21 Mn |
| Dec 31, 2025 | 291.76 Mn |
| Sep 30, 2025 | 269.95 Mn |
| Jun 30, 2025 | 181.56 Mn |
| Mar 31, 2025 | 209.09 Mn |
| Dec 31, 2024 | 295.80 Mn |
| Sep 30, 2024 | 206.24 Mn |
| Jun 30, 2024 | 193.26 Mn |
| Mar 31, 2024 | 227.07 Mn |
| Dec 31, 2023 | 253.87 Mn |
| Sep 30, 2023 | 212.89 Mn |
| Jun 30, 2023 | 121.29 Mn |
| Mar 31, 2023 | 63.99 Mn |
| Dec 31, 2022 | 184.66 Mn |
| Sep 30, 2022 | 146.35 Mn |
| Jun 30, 2022 | 137.59 Mn |
| Mar 31, 2022 | 131.61 Mn |
| Dec 31, 2021 | 192.88 Mn |
| Sep 30, 2021 | 182.69 Mn |
API Access
Open Text Operating 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=operating-income&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-income&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();