Open Text (OTEX) Goodwill & Intangibles (2009 - 2026)
Open Text (OTEX) recorded Goodwill & Intangibles of $8.7 billion in fiscal Q1 2027 (quarter ended Sep 30, 2026), down 6.4% from $9.29 billion a year earlier and down 1.1% from the prior quarter.
Open Text (OTEX) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Open Text reported Goodwill & Intangibles of $8.8 billion, down 7.3% from FY2025.
- Annual Goodwill & Intangibles has declined for three straight fiscal years, though with a five-year compound annual growth rate of 8.4% (FY2021 to FY2026).
- Across earlier fiscal years, Goodwill & Intangibles came in at $9.49 billion in FY2025 (-4.8%), $9.97 billion in FY2024 (-21.7%), $12.74 billion in FY2023 (+101.6%) and $6.32 billion in FY2022 (+7.5%).
- The fiscal Q1 2027 figure is the lowest quarterly Goodwill & Intangibles since fiscal Q2 2023.
- On a year-over-year basis, Goodwill & Intangibles has declined for 11 consecutive quarters, with an average decline of 6.1% over the last eight quarters.
- Peak year-over-year performance for Goodwill & Intangibles in the last five years was growth of 101.7% in fiscal Q1 2024, against a decline of 21.7% in fiscal Q3 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.8 billion (Q4 2026), $8.91 billion (Q3 2026) and $9.16 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 95.04 Bn | 70.29 Bn | 6.00 Bn |
| 2 | Autodesk | 55.26 Bn | 43.30 Bn | 1.87 Bn |
| 3 | Atlassian | 37.81 Bn | 32.74 Bn | 1.51 Bn |
| 4 | Twilio | 32.70 Bn | 22.33 Bn | 760.53 Mn |
| 5 | Zoom Communications | 29.17 Bn | -1.56 Bn | 985.50 Mn |
| 6 | Figma | 10.36 Bn | 3.67 Bn | 314.44 Mn |
| 7 | Dropbox | 7.27 Bn | 2.69 Bn | 513.70 Mn |
| 8 | RingCentral | 6.37 Bn | 5.90 Bn | 494.30 Mn |
| 9 | Open Text | 6.00 Bn | 1.54 Bn | 905.53 Mn |
| 10 | Box | 5.99 Bn | 4.88 Bn | 253.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 8.70 Bn |
| Jun 30, 2026 | 8.80 Bn |
| Mar 31, 2026 | 8.91 Bn |
| Dec 31, 2025 | 9.16 Bn |
| Sep 30, 2025 | 9.29 Bn |
| Jun 30, 2025 | 9.49 Bn |
| Mar 31, 2025 | 9.60 Bn |
| Dec 31, 2024 | 9.71 Bn |
| Sep 30, 2024 | 9.86 Bn |
| Jun 30, 2024 | 9.97 Bn |
| Mar 31, 2024 | 10.15 Bn |
| Dec 31, 2023 | 10.38 Bn |
| Sep 30, 2023 | 12.51 Bn |
| Jun 30, 2023 | 12.74 Bn |
| Mar 31, 2023 | 12.97 Bn |
| Dec 31, 2022 | 6.13 Bn |
| Sep 30, 2022 | 6.20 Bn |
| Jun 30, 2022 | 6.32 Bn |
| Mar 31, 2022 | 6.45 Bn |
| Dec 31, 2021 | 6.55 Bn |
Open Text Goodwill & 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=goodwill-and-intangibles&ticker=OTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-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=goodwill-and-intangibles&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();