Open Text (OTEX) Operating Leases (2019 - 2026)
Open Text's Operating Leases was $138.43 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 27.1% from $189.95 million a year earlier and down 2.0% from the prior quarter.
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Analysis
Open Text (OTEX) Operating Leases (2019 - 2026) Analysis & Trends
From fiscal Q1 2020 onward, Open Text has reported Operating Leases for 28 quarters.
- Operating Leases has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -9.2% (FY2021 to FY2026).
- In earlier fiscal years, Operating Leases was $189.95 million in FY2025 (-12.9%), $218.17 million in FY2024 (-19.7%), $271.58 million in FY2023 (+36.7%) and $198.7 million in FY2022 (-11.5%).
- The fiscal Q4 2026 figure marks the lowest quarterly Operating Leases in data going back to fiscal Q1 2020.
- Compared with a year earlier, Operating Leases has declined for ten straight quarters, with an average decline of 18.6% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was fiscal Q3 2023 (growth of 40.8%); the worst was fiscal Q3 2026 (a decline of 27.7%).
- Per Business Quant data, OTEX's Operating Leases in the three fiscal quarters before Q4 2026 was $141.24 million (Q3 2026), $155.22 million (Q2 2026) and $181.97 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 138.43 Mn |
| Mar 31, 2026 | 141.24 Mn |
| Dec 31, 2025 | 155.22 Mn |
| Sep 30, 2025 | 181.97 Mn |
| Jun 30, 2025 | 189.95 Mn |
| Mar 31, 2025 | 195.39 Mn |
| Dec 31, 2024 | 200.82 Mn |
| Sep 30, 2024 | 213.40 Mn |
| Jun 30, 2024 | 218.17 Mn |
| Mar 31, 2024 | 224.98 Mn |
| Dec 31, 2023 | 236.48 Mn |
| Sep 30, 2023 | 252.63 Mn |
| Jun 30, 2023 | 271.58 Mn |
| Mar 31, 2023 | 286.03 Mn |
| Dec 31, 2022 | 188.81 Mn |
| Sep 30, 2022 | 197.33 Mn |
| Jun 30, 2022 | 198.70 Mn |
| Mar 31, 2022 | 203.10 Mn |
| Dec 31, 2021 | 214.82 Mn |
| Sep 30, 2021 | 211.28 Mn |
API Access
Open Text Operating Leases 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-leases&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();