Open Text (OTEX) Depreciation & Amortization (CF) (2009 - 2026)
Open Text's Depreciation & Amortization (CF) came in at $146.31 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 9.0% from $160.84 million a year earlier but up 2.3% from the prior quarter.
Open Text (OTEX) Depreciation & Amortization (CF) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text's Depreciation & Amortization (CF) was $607.15 million, down 5.3% from FY2025.
- Depreciation & Amortization (CF) carries a five-year compound annual growth rate of 3.1% (FY2021 to FY2026).
- Going back by fiscal year, Depreciation & Amortization (CF) was $641.24 million in FY2025 (-20.6%), $807.93 million in FY2024 (+22.9%), $657.35 million in FY2023 (+30.4%) and $503.95 million in FY2022 (-3.2%).
- The five-year range for quarterly Depreciation & Amortization (CF) is $117.17 million (fiscal Q2 2023) to $231.11 million (fiscal Q1 2024).
- Year-over-year, Depreciation & Amortization (CF) has declined for ten consecutive quarters, with an average decline of 12.5% over the last eight quarters.
- The fastest year-over-year change in Depreciation & Amortization (CF) over five years came in fiscal Q1 2024 (growth of 92.2%), and the weakest in fiscal Q1 2025 (a decline of 30.4%).
- Business Quant data shows OTEX's Depreciation & Amortization (CF) at $143.04 million (Q3 2026), $158.12 million (Q2 2026) and $159.69 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 215.00 Mn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 39.43 Mn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 29.52 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 50.00 Mn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | 27.30 Mn |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | 36.40 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | 124.22 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | 57.09 Mn |
| 10 | Open Text | 5.43 Bn | 861.81 Mn | 1.01 Bn | 146.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 146.31 Mn |
| Mar 31, 2026 | 143.04 Mn |
| Dec 31, 2025 | 158.12 Mn |
| Sep 30, 2025 | 159.69 Mn |
| Jun 30, 2025 | 160.84 Mn |
| Mar 31, 2025 | 159.36 Mn |
| Dec 31, 2024 | 160.13 Mn |
| Sep 30, 2024 | 160.92 Mn |
| Jun 30, 2024 | 177.65 Mn |
| Mar 31, 2024 | 181.04 Mn |
| Dec 31, 2023 | 218.12 Mn |
| Sep 30, 2023 | 231.11 Mn |
| Jun 30, 2023 | 229.48 Mn |
| Mar 31, 2023 | 190.45 Mn |
| Dec 31, 2022 | 117.17 Mn |
| Sep 30, 2022 | 120.25 Mn |
| Jun 30, 2022 | 125.32 Mn |
| Mar 31, 2022 | 125.15 Mn |
| Dec 31, 2021 | 127.05 Mn |
| Sep 30, 2021 | 126.44 Mn |
Open Text Depreciation & Amortization (CF) 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-cf&ticker=OTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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-cf&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();