Open Text (OTEX) Return on Sales [ROS] (2009 - 2026)
Open Text's Return on Sales [ROS] 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.
Powered by 
Analysis
Open Text (OTEX) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text's Return on Sales [ROS] was 20.64%, up 3.36 percentage points from FY2025.
- Return on Sales [ROS] 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, Return on Sales [ROS] 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 Return on Sales [ROS] since fiscal Q2 2021.
- Year-over-year, Return on Sales [ROS] 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 Return on Sales [ROS] 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 Return on Sales [ROS] 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) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 34.82% |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 11.93% |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 5.64% |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 29.28% |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 24.61% |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | -31.69% |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 26.10% |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 14.88% |
| 9 | RingCentral | 6.55 Bn | 6.05 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 Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();