Open Text (OTEX) Return on Capital Employed [ROCE] (2009 - 2026)
Open Text's Return on Capital Employed [ROCE] was 10.22% in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 2.12 percentage points from 8.10% a year earlier and up 1.57 percentage points from the prior quarter.
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Analysis
Open Text (OTEX) Return on Capital Employed [ROCE] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Return on Capital Employed [ROCE] at Open Text came in at 10.01%, up 2.07 percentage points from FY2025.
- Return on Capital Employed [ROCE] has now increased for three consecutive fiscal years, with a five-year change of +1.35 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Capital Employed [ROCE] was 7.94% in FY2025 (+1.04 pp), 6.91% in FY2024 (+1.95 pp), 4.96% in FY2023 (-2.69 pp) and 7.65% in FY2022 (-1.00 pp).
- The fiscal Q4 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since fiscal Q3 2015.
- Compared with a year earlier, Return on Capital Employed [ROCE] has increased for ten straight quarters, with an average year-over-year change of +1.74 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was fiscal Q1 2025 (a gain of 3.50 percentage points); the worst was fiscal Q4 2023 (a drop of 3.73 percentage points).
- Per Business Quant data, OTEX's Return on Capital Employed [ROCE] in the three fiscal quarters before Q4 2026 was 8.65% (Q3 2026), 8.64% (Q2 2026) and 8.57% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 51.31% |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 0.45% |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 2.39% |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 35.01% |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 11.23% |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | -93.81% |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 38.55% |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 43.95% |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 23.49% |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 10.22% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.22% |
| Mar 31, 2026 | 8.65% |
| Dec 31, 2025 | 8.64% |
| Sep 30, 2025 | 8.57% |
| Jun 30, 2025 | 8.10% |
| Mar 31, 2025 | 8.06% |
| Dec 31, 2024 | 8.12% |
| Sep 30, 2024 | 7.66% |
| Jun 30, 2024 | 7.10% |
| Mar 31, 2024 | 6.07% |
| Dec 31, 2023 | 4.82% |
| Sep 30, 2023 | 4.16% |
| Jun 30, 2023 | 3.68% |
| Mar 31, 2023 | 4.91% |
| Dec 31, 2022 | 6.56% |
| Sep 30, 2022 | 7.12% |
| Jun 30, 2022 | 7.41% |
| Mar 31, 2022 | 7.76% |
| Dec 31, 2021 | 8.19% |
| Sep 30, 2021 | 8.86% |
API Access
Open Text Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();