Open Text (OTEX) Amortization - Intangibles (2009 - 2026)
Open Text (OTEX) posted Amortization - Intangibles of $65.0 million for Q2 2026, down 0.64% on a QoQ basis from $65.4 million in Q1 2026, and down 18.41% year-over-year from $79.7 million in Q2 2025.
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Analysis
Open Text (OTEX) Amortization - Intangibles (2009 - 2026) Analysis & Trends
Open Text has reported Amortization - Intangibles for 18 years, with the latest figure at $65.0 million in Q2 2026.
- On a quarterly basis, Amortization - Intangibles fell 18.41% year-over-year to $65.0 million in Q2 2026; TTM through Jun 2026 was $288.6 million, a 10.34% decrease from a year earlier, with the FY2026 full-year figure at $288.6 million, down 10.34% from the prior year.
- Amortization - Intangibles was $65.0 million for Q2 2026 at Open Text, down from $65.4 million in the prior quarter.
- The five-year high for Amortization - Intangibles was $202.4 million in Q2 2023, with the low at $53.4 million in Q4 2022.
- Average Amortization - Intangibles over 5 years is $86.8 million, with a median of $79.7 million recorded in 2025.
- The sharpest annual moves came in 2023 and 2024: Amortization - Intangibles jumped 259.24% in 2023, then plunged 51.85% in 2024.
- Over 5 years, Amortization - Intangibles stood at $53.4 million in 2022, then jumped by 113.16% to $113.9 million in 2023, then declined by 28.86% to $81.0 million in 2024, then fell by 2.96% to $78.6 million in 2025, then dropped by 17.36% to $65.0 million in 2026.
- The last three Amortization - Intangibles figures came in at $65.0 million (Q2 2026), $65.4 million (Q1 2026), and $78.6 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 94.11 Bn | 88.47 Bn | 6.00 Bn |
| 2 | Atlassian | 50.75 Bn | 49.51 Bn | 1.53 Bn |
| 3 | Autodesk | 45.38 Bn | 41.23 Bn | 1.87 Bn |
| 4 | Twilio | 44.64 Bn | 41.99 Bn | 725.87 Mn |
| 5 | Zoom Communications | 26.86 Bn | 19.62 Bn | 985.50 Mn |
| 6 | Figma | 11.55 Bn | 9.88 Bn | 309.61 Mn |
| 7 | Dropbox | 7.52 Bn | 6.40 Bn | 506.50 Mn |
| 8 | Nice | 7.12 Bn | 6.76 Bn | 995.81 Mn |
| 9 | RingCentral | 6.64 Bn | 6.53 Bn | 472.31 Mn |
| 10 | Open Text | 5.59 Bn | 4.63 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 | 202.40 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();