Open Text (OTEX) Selling, General & Administrative (2009 - 2026)
Open Text (OTEX) reported Selling, General & Administrative of $112.03 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5.7% from $106.01 million a year earlier and up 3.1% from the prior quarter.
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Analysis
Open Text (OTEX) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text posted Selling, General & Administrative of $436.57 million, up 2.0% from FY2025.
- Selling, General & Administrative has a five-year compound annual growth rate of 10.6% (FY2021 to FY2026).
- By fiscal year, Selling, General & Administrative came in at $427.81 million in FY2025 (-25.9%), $577.04 million in FY2024 (+37.5%), $419.59 million in FY2023 (+32.3%) and $317.09 million in FY2022 (+20.3%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Selling, General & Administrative since fiscal Q3 2025.
- Year over year, Selling, General & Administrative gained in two of the last eight quarters, with an average decline of 11.1%.
- The high point for year-over-year Selling, General & Administrative in five years was fiscal Q2 2024 (growth of 123.3%); the low point was fiscal Q2 2025 (a decline of 42.7%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $108.67 million (Q3 2026), $110.11 million (Q2 2026) and $105.76 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn | 488.00 Mn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn | 168.19 Mn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn | 179.00 Mn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn | 118.43 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn | 98.16 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn | 104.72 Mn |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn | 63.80 Mn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | 179.22 Mn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn | 64.32 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 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();