Open Text (OTEX) Assets (2009 - 2026)
Open Text's Assets came in at $13.11 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 4.8% from $13.77 billion a year earlier and down 1.6% from the prior quarter.
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Analysis
Open Text (OTEX) Assets (2009 - 2026) Analysis & Trends
Going back to fiscal Q3 2009, Open Text's Assets data covers 69 quarters.
- Assets has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 6.4% (FY2021 to FY2026).
- Going back by fiscal year, Assets was $13.77 billion in FY2025 (-3.0%), $14.21 billion in FY2024 (-16.9%), $17.09 billion in FY2023 (+67.9%) and $10.18 billion in FY2022 (+5.9%).
- The fiscal Q4 2026 figure represents the lowest quarterly Assets since fiscal Q2 2023.
- Year-over-year, Assets has declined for ten consecutive quarters, with an average decline of 8.0% over the last eight quarters.
- The fastest year-over-year change in Assets over five years came in fiscal Q3 2023 (growth of 71.5%), and the weakest in fiscal Q4 2024 (a decline of 16.9%).
- Business Quant data shows OTEX's Assets at $13.33 billion (Q3 2026), $13.57 billion (Q2 2026) and $13.48 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 29.98 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 6.10 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 10.84 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 12.98 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 13.59 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 2.35 Bn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 2.83 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 5.12 Bn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 1.38 Bn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 13.11 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.11 Bn |
| Mar 31, 2026 | 13.33 Bn |
| Dec 31, 2025 | 13.57 Bn |
| Sep 30, 2025 | 13.48 Bn |
| Jun 30, 2025 | 13.77 Bn |
| Mar 31, 2025 | 13.75 Bn |
| Dec 31, 2024 | 13.73 Bn |
| Sep 30, 2024 | 13.78 Bn |
| Jun 30, 2024 | 14.21 Bn |
| Mar 31, 2024 | 16.39 Bn |
| Dec 31, 2023 | 16.44 Bn |
| Sep 30, 2023 | 16.55 Bn |
| Jun 30, 2023 | 17.09 Bn |
| Mar 31, 2023 | 17.43 Bn |
| Dec 31, 2022 | 11.22 Bn |
| Sep 30, 2022 | 10.08 Bn |
| Jun 30, 2022 | 10.18 Bn |
| Mar 31, 2022 | 10.16 Bn |
| Dec 31, 2021 | 10.16 Bn |
| Sep 30, 2021 | 9.52 Bn |
API Access
Open Text 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=assets&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();