Open Text (OTEX) Return on Equity [ROE] (2009 - 2026)
Open Text (OTEX) posted Return on Equity [ROE] of 16.12% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5.30 percentage points from 10.82% a year earlier and up 3.23 percentage points from the prior quarter.
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Analysis
Open Text (OTEX) Return on Equity [ROE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text's Return on Equity [ROE] came in at 16.19%, up 5.46 percentage points from FY2025.
- Annual Return on Equity [ROE] shows a five-year change of +8.52 percentage points (FY2021 to FY2026).
- In prior fiscal years, Open Text's Return on Equity [ROE] was 10.73% in FY2025 (-0.59 pp), 11.32% in FY2024 (+7.58 pp), 3.74% in FY2023 (-6.03 pp) and 9.77% in FY2022 (+2.10 pp).
- The fiscal Q4 2026 figure stands as the highest quarterly Return on Equity [ROE] since fiscal Q4 2017.
- On a year-over-year basis, Return on Equity [ROE] increased in five of the last eight quarters, with an average year-over-year change of +3.18 percentage points.
- The strongest year-over-year quarter for Return on Equity [ROE] in the past five years was fiscal Q2 2025, with a gain of 12.62 percentage points; the weakest was fiscal Q4 2023, with a drop of 6.13 percentage points.
- According to Business Quant data, Return on Equity [ROE] for the three prior fiscal quarters was 12.90% (Q3 2026), 10.92% (Q2 2026) and 12.64% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROE (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 62.57% |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | 49.91% |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | -5.55% |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 14.02% |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 30.60% |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | -37.23% |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | - |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 16.12% |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | - |
| 10 | Nice | 5.99 Bn | 4.56 Bn | 1.49 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.12% |
| Mar 31, 2026 | 12.90% |
| Dec 31, 2025 | 10.92% |
| Sep 30, 2025 | 12.64% |
| Jun 30, 2025 | 10.82% |
| Mar 31, 2025 | 15.68% |
| Dec 31, 2024 | 15.80% |
| Sep 30, 2024 | 11.25% |
| Jun 30, 2024 | 11.17% |
| Mar 31, 2024 | 4.13% |
| Dec 31, 2023 | 3.17% |
| Sep 30, 2023 | 8.67% |
| Jun 30, 2023 | 3.70% |
| Mar 31, 2023 | 7.31% |
| Dec 31, 2022 | 7.99% |
| Sep 30, 2022 | 3.77% |
| Jun 30, 2022 | 9.82% |
| Mar 31, 2022 | 11.64% |
| Dec 31, 2021 | 11.83% |
| Sep 30, 2021 | 8.17% |
API Access
Open Text Return on Equity [ROE] 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=return-on-equity-%5Broe%5D&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-equity-[roe]", "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=return-on-equity-%5Broe%5D&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();