Open Text (OTEX) Enterprise Value (2009 - 2026)
Open Text (OTEX) reported Enterprise Value of $4.41 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 29.8% from $6.28 billion a year earlier but up 6.6% from the prior quarter.
Open Text (OTEX) Enterprise Value (2009 - 2026) Analysis & Trends
Dating back to fiscal Q3 2009, Open Text's Enterprise Value record includes 70 quarters.
- Enterprise Value has declined for three consecutive fiscal years, with a five-year compound annual growth rate of -18.4% (FY2021 to FY2026).
- By fiscal year, Enterprise Value came in at $6.28 billion in FY2025 (-7.1%), $6.77 billion in FY2024 (-32.5%), $10.03 billion in FY2023 (+17.9%) and $8.51 billion in FY2022 (-30.2%).
- Five-year quarterly Enterprise Value spans a low of $4.13 billion in fiscal Q3 2026 and a high of $11.55 billion in fiscal Q1 2022.
- Year over year, Enterprise Value gained in two of the last eight quarters, with an average decline of 16.9%.
- The high point for year-over-year Enterprise Value in five years was fiscal Q2 2024 (growth of 100.8%); the low point was fiscal Q2 2023 (a decline of 54.3%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $4.13 billion (Q3 2026), $6.93 billion (Q2 2026) and $8.33 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 | 4.41 Bn |
| Mar 31, 2026 | 4.13 Bn |
| Dec 31, 2025 | 6.93 Bn |
| Sep 30, 2025 | 8.33 Bn |
| Jun 30, 2025 | 6.28 Bn |
| Mar 31, 2025 | 5.28 Bn |
| Dec 31, 2024 | 6.35 Bn |
| Sep 30, 2024 | 7.84 Bn |
| Jun 30, 2024 | 6.77 Bn |
| Mar 31, 2024 | 9.46 Bn |
| Dec 31, 2023 | 10.42 Bn |
| Sep 30, 2023 | 8.60 Bn |
| Jun 30, 2023 | 10.03 Bn |
| Mar 31, 2023 | 9.03 Bn |
| Dec 31, 2022 | 5.19 Bn |
| Sep 30, 2022 | 5.43 Bn |
| Jun 30, 2022 | 8.51 Bn |
| Mar 31, 2022 | 9.83 Bn |
| Dec 31, 2021 | 11.36 Bn |
| Sep 30, 2021 | 11.55 Bn |
Open Text Enterprise Value 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=enterprise-value&ticker=OTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();