Open Text (OTEX) Income from Continuing Operations (2009 - 2026)
Open Text (OTEX) recorded Income from Continuing Operations of $155.72 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 439.1% from $28.88 million a year earlier but down 9.9% from the prior quarter.
Open Text (OTEX) Income from Continuing Operations (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text reported Income from Continuing Operations of $643.26 million, up 47.5% from FY2025.
- Annual Income from Continuing Operations has a five-year compound annual growth rate of 15.7% (FY2021 to FY2026).
- Across earlier fiscal years, Income from Continuing Operations came in at $436.07 million in FY2025 (-6.3%), $465.28 million in FY2024 (+209.0%), $150.57 million in FY2023 (-62.1%) and $397.26 million in FY2022 (+27.8%).
- Quarterly Income from Continuing Operations has ranged from -$116.89 million in fiscal Q1 2023 to $258.52 million in fiscal Q2 2023 over the past five years.
- On a year-over-year basis, Income from Continuing Operations rose in five of the last eight quarters, with growth averaging 124.0%.
- Peak year-over-year performance for Income from Continuing Operations in the last five years was growth of 509.2% in fiscal Q2 2025, against a decline of 88.4% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $172.75 million (Q3 2026), $168.13 million (Q2 2026) and $146.66 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Income (Continuing) (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 1.83 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 139.08 Mn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 1.07 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 492.00 Mn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 1.54 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | -112.15 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 95.80 Mn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | 130.04 Mn |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 39.12 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 155.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155.72 Mn |
| Mar 31, 2026 | 172.75 Mn |
| Dec 31, 2025 | 168.13 Mn |
| Sep 30, 2025 | 146.66 Mn |
| Jun 30, 2025 | 28.88 Mn |
| Mar 31, 2025 | 92.85 Mn |
| Dec 31, 2024 | 229.91 Mn |
| Sep 30, 2024 | 84.42 Mn |
| Jun 30, 2024 | 248.27 Mn |
| Mar 31, 2024 | 98.33 Mn |
| Dec 31, 2023 | 37.74 Mn |
| Sep 30, 2023 | 80.95 Mn |
| Jun 30, 2023 | -48.69 Mn |
| Mar 31, 2023 | 57.61 Mn |
| Dec 31, 2022 | 258.52 Mn |
| Sep 30, 2022 | -116.89 Mn |
| Jun 30, 2022 | 102.24 Mn |
| Mar 31, 2022 | 74.72 Mn |
| Dec 31, 2021 | 88.34 Mn |
| Sep 30, 2021 | 131.97 Mn |
Open Text Income from Continuing Operations 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=income-from-continuing-operations&ticker=OTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-from-continuing-operations", "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=income-from-continuing-operations&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();