Open Text (OTEX) Return on Assets [ROA] (2009 - 2026)
Open Text (OTEX) reported Return on Assets [ROA] of 4.87% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 1.70 percentage points from 3.17% a year earlier and up 1.03 percentage points from the prior quarter.
Powered by 
Analysis
Open Text (OTEX) Return on Assets [ROA] (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text posted Return on Assets [ROA] of 4.79%, up 1.67 percentage points from FY2025.
- Return on Assets [ROA] has increased for three consecutive fiscal years, with a five-year change of +1.65 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Assets [ROA] came in at 3.12% in FY2025 (+0.14 pp), 2.97% in FY2024 (+1.87 pp), 1.10% in FY2023 (-2.91 pp) and 4.02% in FY2022 (+0.88 pp).
- The fiscal Q4 2026 figure ranks as the highest quarterly Return on Assets [ROA] since fiscal Q2 2022.
- Year over year, Return on Assets [ROA] gained in six of the last eight quarters, with an average year-over-year change of +1.09 percentage points.
- The high point for year-over-year Return on Assets [ROA] in five years was fiscal Q2 2022 (a gain of 4.10 percentage points); the low point was fiscal Q4 2023 (a drop of 3.03 percentage points).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 3.84% (Q3 2026), 3.23% (Q2 2026) and 3.66% (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | 24.31% |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | 13.16% |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | -0.92% |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | 11.60% |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | 25.28% |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | -23.23% |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | 15.12% |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 4.87% |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | 40.68% |
| 10 | Nice | 5.99 Bn | 4.56 Bn | 1.49 Bn | 16.73% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.87% |
| Mar 31, 2026 | 3.84% |
| Dec 31, 2025 | 3.23% |
| Sep 30, 2025 | 3.66% |
| Jun 30, 2025 | 3.17% |
| Mar 31, 2025 | 4.77% |
| Dec 31, 2024 | 4.80% |
| Sep 30, 2024 | 3.35% |
| Jun 30, 2024 | 3.04% |
| Mar 31, 2024 | 1.03% |
| Dec 31, 2023 | 0.77% |
| Sep 30, 2023 | 2.07% |
| Jun 30, 2023 | 0.87% |
| Mar 31, 2023 | 2.10% |
| Dec 31, 2022 | 2.99% |
| Sep 30, 2022 | 1.47% |
| Jun 30, 2022 | 3.91% |
| Mar 31, 2022 | 4.69% |
| Dec 31, 2021 | 5.01% |
| Sep 30, 2021 | 3.55% |
API Access
Open Text Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();