Open Text (OTEX) Intangibles (2009 - 2026)
Open Text's Intangibles was $1.38 billion in fiscal Q1 2027 (quarter ended Sep 30, 2026), down 25.7% from $1.85 billion a year earlier and down 6.7% from the prior quarter.
Open Text (OTEX) Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Intangibles at Open Text came in at $1.48 billion, down 25.4% from FY2025.
- Intangibles has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 4.4% (FY2021 to FY2026).
- In earlier fiscal years, Intangibles was $1.98 billion in FY2025 (-20.5%), $2.49 billion in FY2024 (-39.1%), $4.08 billion in FY2023 (+279.5%) and $1.08 billion in FY2022 (-9.4%).
- The fiscal Q1 2027 figure marks the lowest quarterly Intangibles since fiscal Q2 2023.
- Compared with a year earlier, Intangibles has declined for 11 straight quarters, with an average decline of 22.5% over the last eight quarters.
- The best year-over-year quarter for Intangibles over five years was fiscal Q1 2024 (growth of 299.0%); the worst was fiscal Q1 2025 (a decline of 39.4%).
- Per Business Quant data, OTEX's Intangibles in the three fiscal quarters before Q1 2027 was $1.48 billion (Q4 2026), $1.58 billion (Q3 2026) and $1.73 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 95.04 Bn | 70.29 Bn | 6.00 Bn | 956.00 Mn |
| 2 | Autodesk | 55.26 Bn | 43.30 Bn | 1.87 Bn | 423.00 Mn |
| 3 | Atlassian | 37.81 Bn | 32.74 Bn | 1.51 Bn | 401.72 Mn |
| 4 | Twilio | 32.70 Bn | 22.33 Bn | 760.53 Mn | 105.30 Mn |
| 5 | Zoom Communications | 29.17 Bn | -1.56 Bn | 985.50 Mn | - |
| 6 | Figma | 10.36 Bn | 3.67 Bn | 314.44 Mn | 11.14 Mn |
| 7 | Dropbox | 7.27 Bn | 2.69 Bn | 513.70 Mn | 22.70 Mn |
| 8 | RingCentral | 6.37 Bn | 5.90 Bn | 494.30 Mn | 44.02 Mn |
| 9 | Open Text | 6.00 Bn | 1.54 Bn | 905.53 Mn | 1.38 Bn |
| 10 | Box | 5.99 Bn | 4.88 Bn | 253.97 Mn | 103.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.38 Bn |
| Jun 30, 2026 | 1.48 Bn |
| Mar 31, 2026 | 1.58 Bn |
| Dec 31, 2025 | 1.73 Bn |
| Sep 30, 2025 | 1.85 Bn |
| Jun 30, 2025 | 1.98 Bn |
| Mar 31, 2025 | 2.10 Bn |
| Dec 31, 2024 | 2.23 Bn |
| Sep 30, 2024 | 2.36 Bn |
| Jun 30, 2024 | 2.49 Bn |
| Mar 31, 2024 | 2.62 Bn |
| Dec 31, 2023 | 2.77 Bn |
| Sep 30, 2023 | 3.89 Bn |
| Jun 30, 2023 | 4.08 Bn |
| Mar 31, 2023 | 4.22 Bn |
| Dec 31, 2022 | 883.75 Mn |
| Sep 30, 2022 | 974.59 Mn |
| Jun 30, 2022 | 1.08 Bn |
| Mar 31, 2022 | 1.18 Bn |
| Dec 31, 2021 | 1.36 Bn |
Open Text 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=intangibles&ticker=OTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();