Open Text (OTEX) Selling, General & Administrative (2009 - 2026)
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Analysis
Open Text (OTEX) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 94.11 Bn | 88.47 Bn | 6.00 Bn | 488.00 Mn |
| 2 | Atlassian | 50.75 Bn | 49.51 Bn | 1.53 Bn | 168.19 Mn |
| 3 | Autodesk | 45.38 Bn | 41.23 Bn | 1.87 Bn | 179.00 Mn |
| 4 | Twilio | 44.64 Bn | 41.99 Bn | 725.87 Mn | 118.43 Mn |
| 5 | Zoom Communications | 26.86 Bn | 19.62 Bn | 985.50 Mn | 98.16 Mn |
| 6 | Figma | 11.55 Bn | 9.88 Bn | 309.61 Mn | 104.72 Mn |
| 7 | Dropbox | 7.52 Bn | 6.40 Bn | 506.50 Mn | 63.80 Mn |
| 8 | Nice | 7.12 Bn | 6.76 Bn | 995.81 Mn | 179.22 Mn |
| 9 | RingCentral | 6.64 Bn | 6.53 Bn | 472.31 Mn | 64.32 Mn |
| 10 | Open Text | 5.59 Bn | 4.63 Bn | 1.01 Bn | 112.03 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 112.03 Mn |
| Mar 31, 2026 | 108.67 Mn |
| Dec 31, 2025 | 110.11 Mn |
| Sep 30, 2025 | 105.76 Mn |
| Jun 30, 2025 | 106.01 Mn |
| Mar 31, 2025 | 115.72 Mn |
| Dec 31, 2024 | 99.36 Mn |
| Sep 30, 2024 | 106.73 Mn |
| Jun 30, 2024 | 126.64 Mn |
| Mar 31, 2024 | 145.92 Mn |
| Dec 31, 2023 | 173.26 Mn |
| Sep 30, 2023 | 131.21 Mn |
| Jun 30, 2023 | 136.87 Mn |
| Mar 31, 2023 | 127.05 Mn |
| Dec 31, 2022 | 77.60 Mn |
| Sep 30, 2022 | 78.07 Mn |
| Jun 30, 2022 | 85.96 Mn |
| Mar 31, 2022 | 88.14 Mn |
| Dec 31, 2021 | 71.51 Mn |
| Sep 30, 2021 | 71.48 Mn |
API Access
Open Text Selling, General & Administrative 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=selling-general-and-administrative&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();