Open Text (OTEX) Net of Acquisitions & Divestments (2009 - 2026)
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Analysis
Open Text (OTEX) Net of Acquisitions & Divestments (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.52 Bn | 69.77 Bn | 6.00 Bn | - |
| 2 | Autodesk | 54.99 Bn | 43.02 Bn | 1.87 Bn | - |
| 3 | Atlassian | 39.98 Bn | 33.26 Bn | 1.53 Bn | - |
| 4 | Twilio | 30.87 Bn | 20.51 Bn | 760.53 Mn | - |
| 5 | Zoom Communications | 26.33 Bn | -4.40 Bn | 985.50 Mn | - |
| 6 | Figma | 10.00 Bn | 3.32 Bn | 314.44 Mn | - |
| 7 | Dropbox | 7.80 Bn | 3.43 Bn | 506.50 Mn | - |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | 149.03 Mn |
| 9 | RingCentral | 6.04 Bn | 5.57 Bn | 494.30 Mn | - |
| 10 | Nice | 5.99 Bn | 4.56 Bn | 1.49 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 149.03 Mn |
| Jun 30, 2025 | -11.69 Mn |
| Sep 30, 2023 | -9.27 Mn |
| Jun 30, 2023 | -2.36 Mn |
| Mar 31, 2023 | -5.66 Bn |
| Jun 30, 2022 | 838.42 Mn |
| Mar 31, 2022 | -18.60 Mn |
| Jun 30, 2021 | -444,000.00 |
| Mar 31, 2020 | -161.79 Mn |
| Dec 31, 2019 | -1.22 Bn |
| Jun 30, 2019 | 312.92 Mn |
| Mar 31, 2019 | -70.16 Mn |
| Dec 31, 2018 | -311.29 Mn |
| Sep 30, 2018 | -2.28 Mn |
| Jun 30, 2018 | -69,000.00 |
| Mar 31, 2018 | -20.47 Mn |
| Dec 31, 2017 | -8.51 Mn |
| Sep 30, 2017 | -292.04 Mn |
| Mar 31, 2017 | -1.62 Bn |
| Dec 31, 2016 | -2.66 Mn |
API Access
Open Text Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();