Open Text (OTEX) Other Operating Expenses (2009 - 2026)
Open Text's Other Operating Expenses came in at $373.35 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.9% from $359.24 million a year earlier and up 7.3% from the prior quarter.
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Analysis
Open Text (OTEX) Other Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text's Other Operating Expenses was $1.42 billion, up 3.1% from FY2025.
- Other Operating Expenses carries a five-year compound annual growth rate of 11.2% (FY2021 to FY2026).
- Going back by fiscal year, Other Operating Expenses was $1.38 billion in FY2025 (-13.4%), $1.6 billion in FY2024 (+23.1%), $1.3 billion in FY2023 (+45.0%) and $894.22 million in FY2022 (+6.6%).
- The fiscal Q4 2026 figure represents the highest quarterly Other Operating Expenses since fiscal Q4 2024.
- Year-over-year, Other Operating Expenses has increased for four consecutive quarters, with an average decline of 5.1% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q4 2023 (growth of 96.4%), and the weakest in fiscal Q4 2024 (a decline of 18.2%).
- Business Quant data shows OTEX's Other Operating Expenses at $348.03 million (Q3 2026), $366.64 million (Q2 2026) and $336.62 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 99.39 Bn | 74.64 Bn | 6.00 Bn |
| 2 | Atlassian | 56.40 Bn | 49.68 Bn | 1.53 Bn |
| 3 | Autodesk | 51.55 Bn | 39.59 Bn | 1.87 Bn |
| 4 | Twilio | 41.87 Bn | 31.94 Bn | 725.87 Mn |
| 5 | Zoom Communications | 28.87 Bn | -1.92 Bn | 985.50 Mn |
| 6 | Figma | 12.14 Bn | 5.65 Bn | 309.61 Mn |
| 7 | Dropbox | 8.22 Bn | 3.86 Bn | 506.50 Mn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn |
| 9 | RingCentral | 6.72 Bn | 6.21 Bn | 472.31 Mn |
| 10 | Open Text | 6.42 Bn | 1.85 Bn | 1.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 373.35 Mn |
| Mar 31, 2026 | 348.03 Mn |
| Dec 31, 2025 | 366.64 Mn |
| Sep 30, 2025 | 336.62 Mn |
| Jun 30, 2025 | 359.24 Mn |
| Mar 31, 2025 | 339.79 Mn |
| Dec 31, 2024 | 354.98 Mn |
| Sep 30, 2024 | 327.39 Mn |
| Jun 30, 2024 | 389.20 Mn |
| Mar 31, 2024 | 404.59 Mn |
| Dec 31, 2023 | 401.55 Mn |
| Sep 30, 2023 | 400.20 Mn |
| Jun 30, 2023 | 475.90 Mn |
| Mar 31, 2023 | 368.25 Mn |
| Dec 31, 2022 | 230.62 Mn |
| Sep 30, 2022 | 221.61 Mn |
| Jun 30, 2022 | 242.33 Mn |
| Mar 31, 2022 | 237.17 Mn |
| Dec 31, 2021 | 216.60 Mn |
| Sep 30, 2021 | 198.12 Mn |
API Access
Open Text Other Operating Expenses 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=other-operating-expenses&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();