Open Text (OTEX) EBIT (2009 - 2026)
Open Text's EBIT 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) EBIT (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), EBIT at Open Text came in at $1.08 billion, up 21.3% from FY2025.
- EBIT 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, EBIT 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 EBIT in data going back to fiscal Q3 2009.
- Compared with a year earlier, EBIT was higher in three of the last eight quarters, with growth averaging 12.7%.
- The best year-over-year quarter for EBIT 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 EBIT 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) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 2.35 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 210.72 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 84.55 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 599.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 314.32 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | -117.29 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 164.80 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 230.75 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 50.29 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 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 EBIT 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=ebit&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();