Open Text (OTEX) Depreciation & Amortization - Total (2009 - 2026)
Open Text (OTEX) reported Depreciation & Amortization - Total of $38.44 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 12.9% from $34.05 million a year earlier and up 12.0% from the prior quarter.
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Analysis
Open Text (OTEX) Depreciation & Amortization - Total (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text posted Depreciation & Amortization - Total of $143.94 million, up 10.2% from FY2025.
- Depreciation & Amortization - Total has a five-year compound annual growth rate of 11.0% (FY2021 to FY2026).
- By fiscal year, Depreciation & Amortization - Total came in at $130.57 million in FY2025 (-0.8%), $131.6 million in FY2024 (+22.1%), $107.76 million in FY2023 (+22.1%) and $88.24 million in FY2022 (+3.5%).
- The fiscal Q4 2026 figure ranks as the highest quarterly Depreciation & Amortization - Total in data going back to fiscal Q3 2009.
- Year over year, Depreciation & Amortization - Total has now increased in each of the last six quarters, with growth averaging 4.8% over the last eight quarters.
- The high point for year-over-year Depreciation & Amortization - Total in five years was fiscal Q1 2024 (growth of 47.1%); the low point was fiscal Q1 2025 (a decline of 5.6%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $34.31 million (Q3 2026), $35.27 million (Q2 2026) and $35.92 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 97.08 Bn | 72.33 Bn | 6.00 Bn | - |
| 2 | Autodesk | 56.46 Bn | 44.50 Bn | 1.87 Bn | - |
| 3 | Atlassian | 47.71 Bn | 40.99 Bn | 1.53 Bn | - |
| 4 | Twilio | 30.55 Bn | 20.18 Bn | 760.53 Mn | - |
| 5 | Zoom Communications | 26.22 Bn | -4.51 Bn | 985.50 Mn | - |
| 6 | Figma | 10.01 Bn | 3.33 Bn | 314.44 Mn | - |
| 7 | Dropbox | 8.17 Bn | 3.81 Bn | 506.50 Mn | - |
| 8 | Open Text | 6.54 Bn | 1.97 Bn | 1.01 Bn | 103.43 Mn |
| 9 | RingCentral | 6.25 Bn | 5.78 Bn | 494.30 Mn | - |
| 10 | Nice | 6.07 Bn | 4.64 Bn | 1.49 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 103.43 Mn |
| Mar 31, 2026 | 99.72 Mn |
| Dec 31, 2025 | 113.91 Mn |
| Sep 30, 2025 | 115.48 Mn |
| Jun 30, 2025 | 113.71 Mn |
| Mar 31, 2025 | 112.16 Mn |
| Dec 31, 2024 | 112.93 Mn |
| Sep 30, 2024 | 113.68 Mn |
| Jun 30, 2024 | 129.43 Mn |
| Mar 31, 2024 | 132.95 Mn |
| Dec 31, 2023 | 147.34 Mn |
| Sep 30, 2023 | 154.28 Mn |
| Jun 30, 2023 | 152.44 Mn |
| Mar 31, 2023 | 127.81 Mn |
| Dec 31, 2022 | 76.30 Mn |
| Sep 30, 2022 | 77.61 Mn |
| Jun 30, 2022 | 79.05 Mn |
| Mar 31, 2022 | 78.59 Mn |
| Dec 31, 2021 | 74.44 Mn |
| Sep 30, 2021 | 74.55 Mn |
API Access
Open Text Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();