Open Text (OTEX) Capital Expenditures (2009 - 2026)
Open Text (OTEX) recorded Capital Expenditures of $63.83 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 86.5% from $34.23 million a year earlier and up 28.4% from the prior quarter.
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Analysis
Open Text (OTEX) Capital Expenditures (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text reported Capital Expenditures of $199.3 million, up 39.2% from FY2025.
- Annual Capital Expenditures has a five-year compound annual growth rate of 25.6% (FY2021 to FY2026).
- Across earlier fiscal years, Capital Expenditures came in at $143.22 million in FY2025 (-10.1%), $159.3 million in FY2024 (+28.6%), $123.83 million in FY2023 (+33.0%) and $93.11 million in FY2022 (+46.2%).
- The fiscal Q4 2026 figure is the highest quarterly Capital Expenditures in data going back to fiscal Q3 2009.
- On a year-over-year basis, Capital Expenditures rose in four of the last eight quarters, with growth averaging 16.8%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 202.9% in fiscal Q2 2023, against a decline of 37.0% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $49.72 million (Q3 2026), $39.22 million (Q2 2026) and $46.53 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 85.00 Mn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 4.45 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 3.07 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 14.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | - |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 3.30 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | -17.21 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 10.59 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 63.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 63.83 Mn |
| Mar 31, 2026 | 49.72 Mn |
| Dec 31, 2025 | 39.22 Mn |
| Sep 30, 2025 | 46.53 Mn |
| Jun 30, 2025 | 34.23 Mn |
| Mar 31, 2025 | 28.41 Mn |
| Dec 31, 2024 | 41.27 Mn |
| Sep 30, 2024 | 39.32 Mn |
| Jun 30, 2024 | 39.98 Mn |
| Mar 31, 2024 | 36.54 Mn |
| Dec 31, 2023 | 45.24 Mn |
| Sep 30, 2023 | 37.54 Mn |
| Jun 30, 2023 | 24.06 Mn |
| Mar 31, 2023 | 31.23 Mn |
| Dec 31, 2022 | 32.22 Mn |
| Sep 30, 2022 | 36.32 Mn |
| Jun 30, 2022 | 38.17 Mn |
| Mar 31, 2022 | 17.59 Mn |
| Dec 31, 2021 | 10.64 Mn |
| Sep 30, 2021 | 26.71 Mn |
API Access
Open Text Capital Expenditures 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=capital-expenditures&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();