Open Text (OTEX) Other Non-Current Assets (2009 - 2026)
Open Text (OTEX) reported Other Non-Current Assets of $301.33 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.1% from $307.69 million a year earlier and down 2.1% from the prior quarter.
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Analysis
Open Text (OTEX) Other Non-Current Assets (2009 - 2026) Analysis & Trends
Dating back to fiscal Q3 2009, Open Text's Other Non-Current Assets record includes 69 quarters.
- Other Non-Current Assets has a five-year compound annual growth rate of 7.6% (FY2021 to FY2026).
- By fiscal year, Other Non-Current Assets came in at $307.69 million in FY2025 (+3.2%), $298.28 million in FY2024 (-12.9%), $342.32 million in FY2023 (+33.2%) and $256.99 million in FY2022 (+23.0%).
- The fiscal Q4 2026 figure ranks as the lowest quarterly Other Non-Current Assets since fiscal Q2 2025.
- Year over year, Other Non-Current Assets gained in three of the last eight quarters, with an average decline of 1.5%.
- The high point for year-over-year Other Non-Current Assets in five years was fiscal Q3 2022 (growth of 47.1%); the low point was fiscal Q4 2024 (a decline of 12.9%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $307.72 million (Q3 2026), $308.12 million (Q2 2026) and $301.79 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 1.75 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 153.81 Mn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 188.67 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 1.28 Bn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | 264.36 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | 138.91 Mn |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | 78.60 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | 246.38 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | 9.32 Mn |
| 10 | Open Text | 5.43 Bn | 861.81 Mn | 1.01 Bn | 301.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301.33 Mn |
| Mar 31, 2026 | 307.72 Mn |
| Dec 31, 2025 | 308.12 Mn |
| Sep 30, 2025 | 301.79 Mn |
| Jun 30, 2025 | 307.69 Mn |
| Mar 31, 2025 | 303.12 Mn |
| Dec 31, 2024 | 296.38 Mn |
| Sep 30, 2024 | 302.39 Mn |
| Jun 30, 2024 | 298.28 Mn |
| Mar 31, 2024 | 314.58 Mn |
| Dec 31, 2023 | 318.78 Mn |
| Sep 30, 2023 | 328.97 Mn |
| Jun 30, 2023 | 342.32 Mn |
| Mar 31, 2023 | 343.68 Mn |
| Dec 31, 2022 | 303.56 Mn |
| Sep 30, 2022 | 299.61 Mn |
| Jun 30, 2022 | 256.99 Mn |
| Mar 31, 2022 | 257.30 Mn |
| Dec 31, 2021 | 228.14 Mn |
| Sep 30, 2021 | 231.18 Mn |
API Access
Open Text Other 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=other-non-current-assets&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();