Open Text (OTEX) Amortization - Intangibles (2009 - 2026)
Open Text's Amortization - Intangibles was $64.99 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 18.4% from $79.66 million a year earlier and down 0.6% from the prior quarter.
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Analysis
Open Text (OTEX) Amortization - Intangibles (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Amortization - Intangibles at Open Text came in at $288.6 million, down 10.3% from FY2025.
- Amortization - Intangibles shows a five-year compound annual growth rate of 5.7% (FY2021 to FY2026).
- In earlier fiscal years, Amortization - Intangibles was $321.89 million in FY2025 (-25.6%), $432.4 million in FY2024 (+32.5%), $326.41 million in FY2023 (+50.3%) and $217.11 million in FY2022 (-0.8%).
- The fiscal Q4 2026 figure marks the lowest quarterly Amortization - Intangibles since fiscal Q2 2023.
- Compared with a year earlier, Amortization - Intangibles has declined for nine straight quarters, with an average decline of 17.7% over the last eight quarters.
- The best year-over-year quarter for Amortization - Intangibles over five years was fiscal Q1 2024 (growth of 120.8%); the worst was fiscal Q1 2025 (a decline of 32.2%).
- Per Business Quant data, OTEX's Amortization - Intangibles in the three fiscal quarters before Q4 2026 was $65.41 million (Q3 2026), $78.65 million (Q2 2026) and $79.56 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 64.99 Mn |
| Mar 31, 2026 | 65.41 Mn |
| Dec 31, 2025 | 78.65 Mn |
| Sep 30, 2025 | 79.56 Mn |
| Jun 30, 2025 | 79.66 Mn |
| Mar 31, 2025 | 79.68 Mn |
| Dec 31, 2024 | 81.05 Mn |
| Sep 30, 2024 | 81.50 Mn |
| Jun 30, 2024 | 97.45 Mn |
| Mar 31, 2024 | 100.84 Mn |
| Dec 31, 2023 | 113.93 Mn |
| Sep 30, 2023 | 120.19 Mn |
| Jun 30, 2023 | 121.29 Mn |
| Mar 31, 2023 | 97.24 Mn |
| Dec 31, 2022 | 53.45 Mn |
| Sep 30, 2022 | 54.44 Mn |
| Jun 30, 2022 | 56.34 Mn |
| Mar 31, 2022 | 56.22 Mn |
| Dec 31, 2021 | 52.67 Mn |
| Sep 30, 2021 | 53.17 Mn |
API Access
Open Text Amortization - Intangibles 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=amortization-intangibles&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();