Open Text (OTEX) Accumulated Expenses (2009 - 2026)
Open Text (OTEX) posted Accumulated Expenses of $127.24 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), up 205.6% from $41.64 million a year earlier but down 1.3% from the prior quarter.
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Analysis
Open Text (OTEX) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Open Text's Accumulated Expenses came in at $128.92 million, up 204.7% from FY2025.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 34.9% (FY2021 to FY2026).
- In prior fiscal years, Open Text's Accumulated Expenses was $42.31 million in FY2025 (-9.0%), $46.48 million in FY2024 (-10.5%), $51.96 million in FY2023 (+185.4%) and $18.21 million in FY2022 (-36.8%).
- Quarterly Accumulated Expenses has run from a low of $16.4 million in fiscal Q2 2022 to a high of $128.92 million in fiscal Q4 2026 over five years.
- On a year-over-year basis, Accumulated Expenses increased in three of the last eight quarters, with growth averaging 44.0%.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q3 2023, with growth of 285.5%; the weakest was fiscal Q2 2022, with a decline of 42.1%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $128.92 million (Q4 2026), $38.29 million (Q3 2026) and $41.21 million (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Adobe | 95.04 Bn | 70.29 Bn | 6.00 Bn |
| 2 | Autodesk | 55.26 Bn | 43.30 Bn | 1.87 Bn |
| 3 | Atlassian | 37.81 Bn | 32.74 Bn | 1.51 Bn |
| 4 | Twilio | 32.70 Bn | 22.33 Bn | 760.53 Mn |
| 5 | Zoom Communications | 29.17 Bn | -1.56 Bn | 985.50 Mn |
| 6 | Figma | 10.36 Bn | 3.67 Bn | 314.44 Mn |
| 7 | Dropbox | 7.27 Bn | 2.69 Bn | 513.70 Mn |
| 8 | RingCentral | 6.37 Bn | 5.90 Bn | 494.30 Mn |
| 9 | Open Text | 6.00 Bn | 1.54 Bn | 905.53 Mn |
| 10 | Box | 5.99 Bn | 4.88 Bn | 253.97 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 127.24 Mn |
| Jun 30, 2026 | 128.92 Mn |
| Mar 31, 2026 | 38.29 Mn |
| Dec 31, 2025 | 41.21 Mn |
| Sep 30, 2025 | 41.64 Mn |
| Jun 30, 2025 | 42.31 Mn |
| Mar 31, 2025 | 42.56 Mn |
| Dec 31, 2024 | 38.97 Mn |
| Sep 30, 2024 | 45.20 Mn |
| Jun 30, 2024 | 46.48 Mn |
| Mar 31, 2024 | 48.03 Mn |
| Dec 31, 2023 | 52.63 Mn |
| Sep 30, 2023 | 49.33 Mn |
| Jun 30, 2023 | 51.96 Mn |
| Mar 31, 2023 | 64.12 Mn |
| Dec 31, 2022 | 18.71 Mn |
| Sep 30, 2022 | 20.12 Mn |
| Jun 30, 2022 | 18.21 Mn |
| Mar 31, 2022 | 16.63 Mn |
| Dec 31, 2021 | 16.40 Mn |
API Access
Open Text Accumulated 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=accumulated-expenses&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();