Open Text (OTEX) Market Capitalization (2009 - 2026)
Open Text (OTEX) recorded Market Capitalization of $5.36 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 27.9% from $7.44 billion a year earlier and down 0.4% from the prior quarter.
Open Text (OTEX) Market Capitalization (2009 - 2026) Analysis & Trends
Starting with fiscal Q3 2009, Open Text's Market Capitalization history includes 70 quarters.
- Annual Market Capitalization has declined for three straight fiscal years, with a five-year compound annual growth rate of -17.2% (FY2021 to FY2026).
- Across earlier fiscal years, Market Capitalization came in at $7.44 billion in FY2025 (-7.5%), $8.04 billion in FY2024 (-28.5%), $11.26 billion in FY2023 (+10.4%) and $10.2 billion in FY2022 (-26.1%).
- The fiscal Q4 2026 figure is the lowest quarterly Market Capitalization since fiscal Q4 2015.
- On a year-over-year basis, Market Capitalization rose in two of the last eight quarters, with an average decline of 14.6%.
- Peak year-over-year performance for Market Capitalization in the last five years was growth of 42.6% in fiscal Q2 2024, against a decline of 46.3% in fiscal Q1 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.39 billion (Q3 2026), $8.2 billion (Q2 2026) and $9.42 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.36 Bn |
| Mar 31, 2026 | 5.39 Bn |
| Dec 31, 2025 | 8.20 Bn |
| Sep 30, 2025 | 9.42 Bn |
| Jun 30, 2025 | 7.44 Bn |
| Mar 31, 2025 | 6.56 Bn |
| Dec 31, 2024 | 7.47 Bn |
| Sep 30, 2024 | 8.84 Bn |
| Jun 30, 2024 | 8.04 Bn |
| Mar 31, 2024 | 10.58 Bn |
| Dec 31, 2023 | 11.42 Bn |
| Sep 30, 2023 | 9.52 Bn |
| Jun 30, 2023 | 11.26 Bn |
| Mar 31, 2023 | 10.43 Bn |
| Dec 31, 2022 | 8.01 Bn |
| Sep 30, 2022 | 7.14 Bn |
| Jun 30, 2022 | 10.20 Bn |
| Mar 31, 2022 | 11.46 Bn |
| Dec 31, 2021 | 12.87 Bn |
| Sep 30, 2021 | 13.28 Bn |
Open Text Market Capitalization 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=market-capitalization&ticker=OTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "market-capitalization", "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=market-capitalization&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();