Open Text (OTEX) Acquisitions (2009 - 2023)
Open Text's Acquisitions came in at $9.27 million for FY2024 (year ended Jun 30, 2024), down 99.8% from $5.66 billion in FY2023.
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Analysis
Open Text (OTEX) Acquisitions (2009 - 2023) Analysis & Trends
Going back to FY2009, Open Text's Acquisitions data covers 13 fiscal years.
- Acquisitions carries a four-year compound annual growth rate of -71.0% (FY2020 to FY2024).
- The FY2024 figure represents the lowest annual Acquisitions in data going back to FY2009.
- Per Business Quant, earlier fiscal years put Acquisitions at $5.66 billion in FY2023 and $1.31 billion in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (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
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 9.27 Mn |
| Jun 30, 2023 | 5.66 Bn |
| Jun 30, 2022 | -856.18 Mn |
| Mar 31, 2022 | 18.60 Mn |
| Mar 31, 2020 | 88.46 Mn |
| Dec 31, 2019 | 1.22 Bn |
| Jun 30, 2019 | -383.72 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 |
| Sep 30, 2016 | 489.59 Mn |
| Jun 30, 2016 | 257.28 Mn |
| Mar 31, 2016 | 3.79 Mn |
| Dec 31, 2015 | 22.19 Mn |
API Access
Open Text Acquisitions 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=acquisitions&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();