Open Text (OTEX) Operating Margin (2009 - 2026)
Open Text's Operating Margin came in at 23.70% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 9.84 percentage points from 13.85% a year earlier and up 8.01 percentage points from the prior quarter.
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Analysis
Open Text (OTEX) Operating Margin (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text's Operating Margin was 20.64%, up 3.36 percentage points from FY2025.
- Operating Margin has increased in each of the last three fiscal years, though with a five-year change of -1.25 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Operating Margin was 17.27% in FY2025 (+1.90 pp), 15.38% in FY2024 (+3.86 pp), 11.51% in FY2023 (-6.94 pp) and 18.45% in FY2022 (-3.43 pp).
- The fiscal Q4 2026 figure represents the highest quarterly Operating Margin since fiscal Q2 2021.
- Year-over-year, Operating Margin increased in five of the last eight quarters, with an average year-over-year change of +2.62 percentage points.
- The fastest year-over-year change in Operating Margin over five years came in fiscal Q3 2024 (a gain of 10.55 percentage points), and the weakest in fiscal Q3 2023 (a drop of 9.78 percentage points).
- Business Quant data shows OTEX's Operating Margin at 15.69% (Q3 2026), 21.99% (Q2 2026) and 20.96% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 34.82% |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 11.93% |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 5.64% |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 29.28% |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 24.61% |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | -31.69% |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 26.10% |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 14.88% |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 7.65% |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 23.70% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.70% |
| Mar 31, 2026 | 15.69% |
| Dec 31, 2025 | 21.99% |
| Sep 30, 2025 | 20.96% |
| Jun 30, 2025 | 13.85% |
| Mar 31, 2025 | 16.67% |
| Dec 31, 2024 | 22.17% |
| Sep 30, 2024 | 16.25% |
| Jun 30, 2024 | 14.19% |
| Mar 31, 2024 | 15.69% |
| Dec 31, 2023 | 16.54% |
| Sep 30, 2023 | 14.94% |
| Jun 30, 2023 | 8.14% |
| Mar 31, 2023 | 5.14% |
| Dec 31, 2022 | 20.58% |
| Sep 30, 2022 | 17.18% |
| Jun 30, 2022 | 15.25% |
| Mar 31, 2022 | 14.92% |
| Dec 31, 2021 | 22.00% |
| Sep 30, 2021 | 21.95% |
API Access
Open Text Operating Margin 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=operating-margin&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();