Open Text (OTEX) Revenue (2009 - 2026)
Open Text's Revenue came in at $1.35 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 2.9% from $1.31 billion a year earlier and up 5.2% from the prior quarter.
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Analysis
Open Text (OTEX) Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text's Revenue was $5.25 billion, up 1.5% from FY2025.
- Revenue carries a five-year compound annual growth rate of 9.2% (FY2021 to FY2026).
- Going back by fiscal year, Revenue was $5.17 billion in FY2025 (-10.4%), $5.77 billion in FY2024 (+28.6%), $4.48 billion in FY2023 (+28.4%) and $3.49 billion in FY2022 (+3.2%).
- The fiscal Q4 2026 figure represents the highest quarterly Revenue since fiscal Q4 2024.
- Year-over-year, Revenue increased in three of the last eight quarters, with an average decline of 4.4%.
- The fastest year-over-year change in Revenue over five years came in fiscal Q2 2024 (growth of 71.0%), and the weakest in fiscal Q3 2025 (a decline of 13.3%).
- Business Quant data shows OTEX's Revenue at $1.28 billion (Q3 2026), $1.33 billion (Q2 2026) and $1.29 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn | 6.76 Bn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn | 1.77 Bn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn | 2.05 Bn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn | 1.50 Bn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn | 1.28 Bn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn | 370.08 Mn |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn | 631.50 Mn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | 1.55 Bn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn | 657.01 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn | 1.35 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Bn |
| Mar 31, 2026 | 1.28 Bn |
| Dec 31, 2025 | 1.33 Bn |
| Sep 30, 2025 | 1.29 Bn |
| Jun 30, 2025 | 1.31 Bn |
| Mar 31, 2025 | 1.25 Bn |
| Dec 31, 2024 | 1.33 Bn |
| Sep 30, 2024 | 1.27 Bn |
| Jun 30, 2024 | 1.36 Bn |
| Mar 31, 2024 | 1.45 Bn |
| Dec 31, 2023 | 1.53 Bn |
| Sep 30, 2023 | 1.43 Bn |
| Jun 30, 2023 | 1.49 Bn |
| Mar 31, 2023 | 1.24 Bn |
| Dec 31, 2022 | 897.44 Mn |
| Sep 30, 2022 | 852.04 Mn |
| Jun 30, 2022 | 902.45 Mn |
| Mar 31, 2022 | 882.28 Mn |
| Dec 31, 2021 | 876.80 Mn |
| Sep 30, 2021 | 832.31 Mn |
API Access
Open Text Revenue 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=revenue&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();