Open Text (OTEX) EBITDA (2009 - 2026)
Open Text (OTEX) posted EBITDA of $465.99 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 36.1% from $342.4 million a year earlier and up 35.4% from the prior quarter.
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Analysis
Open Text (OTEX) EBITDA (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text's EBITDA came in at $1.69 billion, up 10.2% from FY2025.
- Annual EBITDA shows a five-year compound annual growth rate of 6.0% (FY2021 to FY2026).
- In prior fiscal years, Open Text's EBITDA was $1.53 billion in FY2025 (-9.5%), $1.7 billion in FY2024 (+44.4%), $1.17 billion in FY2023 (+2.2%) and $1.15 billion in FY2022 (-8.9%).
- The fiscal Q4 2026 figure stands as the highest quarterly EBITDA since fiscal Q2 2024.
- On a year-over-year basis, EBITDA increased in two of the last eight quarters, with growth averaging 0.9%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q1 2024, with growth of 66.5%; the weakest was fiscal Q1 2025, with a decline of 17.3%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $344.25 million (Q3 2026), $449.87 million (Q2 2026) and $429.64 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 97.58 Bn | 72.83 Bn | 6.00 Bn | 2.57 Bn |
| 2 | Atlassian | 55.96 Bn | 49.24 Bn | 1.53 Bn | 250.15 Mn |
| 3 | Autodesk | 50.57 Bn | 38.61 Bn | 1.87 Bn | 824.00 Mn |
| 4 | Twilio | 39.35 Bn | 29.42 Bn | 725.87 Mn | 130.48 Mn |
| 5 | Zoom Communications | 28.55 Bn | -2.24 Bn | 985.50 Mn | 341.62 Mn |
| 6 | Figma | 11.38 Bn | 4.89 Bn | 309.61 Mn | -117.29 Mn |
| 7 | Dropbox | 8.07 Bn | 3.71 Bn | 506.50 Mn | 206.40 Mn |
| 8 | Nice | 7.10 Bn | 5.56 Bn | 995.81 Mn | 354.97 Mn |
| 9 | RingCentral | 6.67 Bn | 6.16 Bn | 472.31 Mn | 146.67 Mn |
| 10 | Open Text | 6.41 Bn | 1.84 Bn | 1.01 Bn | 471.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 471.33 Mn |
| Mar 31, 2026 | 349.82 Mn |
| Dec 31, 2025 | 455.72 Mn |
| Sep 30, 2025 | 435.40 Mn |
| Jun 30, 2025 | 348.04 Mn |
| Mar 31, 2025 | 373.99 Mn |
| Dec 31, 2024 | 461.43 Mn |
| Sep 30, 2024 | 372.46 Mn |
| Jun 30, 2024 | 376.58 Mn |
| Mar 31, 2024 | 414.88 Mn |
| Dec 31, 2023 | 479.32 Mn |
| Sep 30, 2023 | 449.50 Mn |
| Jun 30, 2023 | 359.03 Mn |
| Mar 31, 2023 | 259.77 Mn |
| Dec 31, 2022 | 303.52 Mn |
| Sep 30, 2022 | 268.08 Mn |
| Jun 30, 2022 | 264.40 Mn |
| Mar 31, 2022 | 258.24 Mn |
| Dec 31, 2021 | 321.22 Mn |
| Sep 30, 2021 | 310.29 Mn |
API Access
Open Text EBITDA 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=ebitda&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();