Open Text (OTEX) Non-Current Assets (2009 - 2026)
Open Text's Non-Current Assets was $10.99 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 5.0% from $11.57 billion a year earlier but up 0.4% from the prior quarter.
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Analysis
Open Text (OTEX) Non-Current Assets (2009 - 2026) Analysis & Trends
From fiscal Q3 2009 onward, Open Text has reported Non-Current Assets for 69 quarters.
- Non-Current Assets has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 8.2% (FY2021 to FY2026).
- In earlier fiscal years, Non-Current Assets was $11.57 billion in FY2025 (-3.0%), $11.93 billion in FY2024 (-19.5%), $14.81 billion in FY2023 (+87.7%) and $7.89 billion in FY2022 (+6.6%).
- Quarterly Non-Current Assets has moved between $7.27 billion (fiscal Q1 2022) and $14.99 billion (fiscal Q3 2023) over five years.
- Compared with a year earlier, Non-Current Assets has declined for ten straight quarters, with an average decline of 6.4% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q3 2023 (growth of 89.1%); the worst was fiscal Q4 2024 (a decline of 19.5%).
- Per Business Quant data, OTEX's Non-Current Assets in the three fiscal quarters before Q4 2026 was $10.94 billion (Q3 2026), $11.22 billion (Q2 2026) and $11.34 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 20.82 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 3.31 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 7.09 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 7.31 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 5.47 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 374.23 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 1.56 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 3.65 Bn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 648.15 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 10.99 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.99 Bn |
| Mar 31, 2026 | 10.94 Bn |
| Dec 31, 2025 | 11.22 Bn |
| Sep 30, 2025 | 11.34 Bn |
| Jun 30, 2025 | 11.57 Bn |
| Mar 31, 2025 | 11.59 Bn |
| Dec 31, 2024 | 11.65 Bn |
| Sep 30, 2024 | 11.80 Bn |
| Jun 30, 2024 | 11.93 Bn |
| Mar 31, 2024 | 12.20 Bn |
| Dec 31, 2023 | 12.36 Bn |
| Sep 30, 2023 | 14.61 Bn |
| Jun 30, 2023 | 14.81 Bn |
| Mar 31, 2023 | 14.99 Bn |
| Dec 31, 2022 | 7.76 Bn |
| Sep 30, 2022 | 7.83 Bn |
| Jun 30, 2022 | 7.89 Bn |
| Mar 31, 2022 | 7.93 Bn |
| Dec 31, 2021 | 8.07 Bn |
| Sep 30, 2021 | 7.27 Bn |
API Access
Open Text Non-Current Assets 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=non-current-assets&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();