Open Text (OTEX) Revenue (2009 - 2026)
Open Text (OTEX) posted Revenue of $1.3 billion for Q2 2026, up 5.19% on a QoQ basis from $1.3 billion in Q1 2026, and up 2.94% year-over-year from $1.3 billion in Q2 2025.
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Analysis
Open Text (OTEX) Revenue (2009 - 2026) Analysis & Trends
Open Text has reported Revenue for 18 years, with the latest figure at $1.3 billion in Q2 2026.
- On a quarterly basis, Revenue rose 2.94% year-over-year to $1.3 billion in Q2 2026; TTM through Jun 2026 was $5.2 billion, a 1.51% increase from a year earlier, with the FY2026 full-year figure at $5.2 billion, up 1.51% from the prior year.
- Revenue was $1.3 billion for Q2 2026 at Open Text, up from $1.3 billion in the prior quarter.
- The five-year high for Revenue was $1.5 billion in Q4 2023, with the low at $852.0 million in Q3 2022.
- Average Revenue over 5 years is $1.2 billion, with a median of $1.3 billion recorded in 2025.
- The sharpest annual moves came in 2023 and 2025: Revenue jumped 71.03% in 2023, then decreased 13.32% in 2025.
- Over 5 years, Revenue stood at $897.4 million in 2022, then surged by 71.03% to $1.5 billion in 2023, then slipped by 13.05% to $1.3 billion in 2024, then decreased by 0.58% to $1.3 billion in 2025, then increased by 1.68% to $1.3 billion in 2026.
- The last three Revenue figures came in at $1.3 billion (Q2 2026), $1.3 billion (Q1 2026), and $1.3 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.11 Bn | 88.47 Bn | 6.00 Bn | 6.76 Bn |
| 2 | Atlassian | 50.75 Bn | 49.51 Bn | 1.53 Bn | 1.77 Bn |
| 3 | Autodesk | 45.38 Bn | 41.23 Bn | 1.87 Bn | 2.05 Bn |
| 4 | Twilio | 44.64 Bn | 41.99 Bn | 725.87 Mn | 1.50 Bn |
| 5 | Zoom Communications | 26.86 Bn | 19.62 Bn | 985.50 Mn | 1.28 Bn |
| 6 | Figma | 11.55 Bn | 9.88 Bn | 309.61 Mn | 370.08 Mn |
| 7 | Dropbox | 7.52 Bn | 6.40 Bn | 506.50 Mn | 631.50 Mn |
| 8 | Nice | 7.12 Bn | 6.76 Bn | 995.81 Mn | 1.55 Bn |
| 9 | RingCentral | 6.64 Bn | 6.53 Bn | 472.31 Mn | 657.01 Mn |
| 10 | Open Text | 5.59 Bn | 4.63 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 | 976.54 Mn |
| 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();