Open Text (OTEX) Tax Provisions (2009 - 2026)
Open Text (OTEX) posted Tax Provisions of $94.8 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with -$17.61 million a year earlier and up 176.5% from the prior quarter.
Powered by 
Analysis
Open Text (OTEX) Tax Provisions (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text's Tax Provisions came in at $215.61 million, up 368.7% from FY2025.
- Annual Tax Provisions shows a five-year compound annual growth rate of -8.7% (FY2021 to FY2026).
- In prior fiscal years, Open Text's Tax Provisions was $46.01 million in FY2025 (-82.6%), $264.01 million in FY2024 (+273.1%), $70.77 million in FY2023 (-40.4%) and $118.75 million in FY2022 (-65.1%).
- The fiscal Q4 2026 figure stands as the highest quarterly Tax Provisions since fiscal Q4 2024.
- On a year-over-year basis, Tax Provisions increased in three of the last five quarters, with growth averaging 147.8%.
- The strongest year-over-year quarter for Tax Provisions in the past five years was fiscal Q2 2025, with growth of 531.9%; the weakest was fiscal Q2 2022, with a decline of 85.3%.
- According to Business Quant data, Tax Provisions for the three prior fiscal quarters was $34.28 million (Q3 2026), $47.33 million (Q2 2026) and $39.2 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 530.00 Mn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 57.85 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | -991.68 Mn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 101.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 452.52 Mn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 2.48 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 21.90 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 123.63 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 3.14 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 94.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 94.80 Mn |
| Mar 31, 2026 | 34.28 Mn |
| Dec 31, 2025 | 47.33 Mn |
| Sep 30, 2025 | 39.20 Mn |
| Jun 30, 2025 | -17.61 Mn |
| Mar 31, 2025 | 10.84 Mn |
| Dec 31, 2024 | 50.89 Mn |
| Sep 30, 2024 | 1.88 Mn |
| Jun 30, 2024 | 239.58 Mn |
| Mar 31, 2024 | 6.03 Mn |
| Dec 31, 2023 | 8.05 Mn |
| Sep 30, 2023 | 10.35 Mn |
| Jun 30, 2023 | -1.21 Mn |
| Mar 31, 2023 | -12.42 Mn |
| Dec 31, 2022 | 50.77 Mn |
| Sep 30, 2022 | 33.63 Mn |
| Jun 30, 2022 | -5.01 Mn |
| Mar 31, 2022 | 41.04 Mn |
| Dec 31, 2021 | 39.27 Mn |
| Sep 30, 2021 | 43.45 Mn |
API Access
Open Text Tax Provisions 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=tax-provisions&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();