Open Text (OTEX) EBT (2009 - 2026)
Open Text (OTEX) recorded EBT of $250.52 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $11.27 million a year earlier and up 21.0% from the prior quarter.
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Analysis
Open Text (OTEX) EBT (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text reported EBT of $858.88 million, up 78.2% from FY2025.
- Annual EBT has a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- Across earlier fiscal years, EBT came in at $482.07 million in FY2025 (-33.9%), $729.3 million in FY2024 (+229.5%), $221.33 million in FY2023 (-57.1%) and $516.01 million in FY2022 (-20.7%).
- The fiscal Q4 2026 figure is the highest quarterly EBT since fiscal Q2 2025.
- On a year-over-year basis, EBT rose in three of the last seven quarters, with growth averaging 85.9%.
- Peak year-over-year performance for EBT in the last five years was growth of 513.2% in fiscal Q2 2025, against a decline of 97.7% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $207.04 million (Q3 2026), $215.46 million (Q2 2026) and $185.86 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 2.36 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 196.93 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 75.53 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 593.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 1.99 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | -109.68 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 117.70 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 253.67 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 42.25 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 250.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 250.52 Mn |
| Mar 31, 2026 | 207.04 Mn |
| Dec 31, 2025 | 215.46 Mn |
| Sep 30, 2025 | 185.86 Mn |
| Jun 30, 2025 | 11.27 Mn |
| Mar 31, 2025 | 103.70 Mn |
| Dec 31, 2024 | 280.80 Mn |
| Sep 30, 2024 | 86.31 Mn |
| Jun 30, 2024 | 487.85 Mn |
| Mar 31, 2024 | 104.36 Mn |
| Dec 31, 2023 | 45.79 Mn |
| Sep 30, 2023 | 91.30 Mn |
| Jun 30, 2023 | -49.90 Mn |
| Mar 31, 2023 | 45.19 Mn |
| Dec 31, 2022 | 309.30 Mn |
| Sep 30, 2022 | -83.26 Mn |
| Jun 30, 2022 | 97.23 Mn |
| Mar 31, 2022 | 115.76 Mn |
| Dec 31, 2021 | 127.60 Mn |
| Sep 30, 2021 | 175.42 Mn |
API Access
Open Text EBT 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=ebt&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();