Open Text (OTEX) Other Operating Expenses (2009 - 2026)
Open Text (OTEX) posted Other Operating Expenses of $252.5 million for Q2 2026, down 6.78% on a QoQ basis from $270.9 million in Q1 2026, and down 16.07% year-over-year from $300.9 million in Q2 2025.
Open Text (OTEX) Other Operating Expenses (2009 - 2026) Analysis & Trends
Open Text has reported Other Operating Expenses for 18 years, with the latest figure at $252.5 million in Q2 2026.
- On a quarterly basis, Other Operating Expenses fell 16.07% year-over-year to $252.5 million in Q2 2026; TTM through Jun 2026 was $1.1 billion, a 10.61% decrease from a year earlier, with the FY2026 full-year figure at $1.1 billion, down 10.61% from the prior year.
- Other Operating Expenses was $252.5 million for Q2 2026 at Open Text, down from $270.9 million in the prior quarter.
- The five-year high for Other Operating Expenses was $380.5 million in Q3 2023, with the low at $186.0 million in Q4 2022.
- Average Other Operating Expenses over 5 years is $288.5 million, with a median of $297.3 million recorded in 2024.
- The sharpest annual moves came in 2023 and 2024: Other Operating Expenses soared 102.61% in 2023, then declined 20.01% in 2024.
- Over 5 years, Other Operating Expenses stood at $186.0 million in 2022, then soared by 93.65% to $360.2 million in 2023, then fell by 18.47% to $293.7 million in 2024, then slipped by 7.3% to $272.2 million in 2025, then retreated by 7.23% to $252.5 million in 2026.
- The last three Other Operating Expenses figures came in at $252.5 million (Q2 2026), $270.9 million (Q1 2026), and $272.2 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 94.11 Bn | 88.47 Bn | 6.00 Bn |
| 2 | Atlassian | 50.75 Bn | 49.51 Bn | 1.53 Bn |
| 3 | Autodesk | 45.38 Bn | 41.23 Bn | 1.87 Bn |
| 4 | Twilio | 44.64 Bn | 41.99 Bn | 725.87 Mn |
| 5 | Zoom Communications | 26.86 Bn | 19.62 Bn | 985.50 Mn |
| 6 | Figma | 11.55 Bn | 9.88 Bn | 309.61 Mn |
| 7 | Dropbox | 7.52 Bn | 6.40 Bn | 506.50 Mn |
| 8 | Nice | 7.12 Bn | 6.76 Bn | 995.81 Mn |
| 9 | RingCentral | 6.64 Bn | 6.53 Bn | 472.31 Mn |
| 10 | Open Text | 5.59 Bn | 4.63 Bn | 1.01 Bn |
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 | 463.22 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 |
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_KEY
import 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();