Open Text (OTEX) Retained Earnings (2009 - 2026)
Open Text (OTEX) posted Retained Earnings of $2.02 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 3.9% from $1.94 billion a year earlier and up 3.6% from the prior quarter.
Open Text (OTEX) Retained Earnings (2009 - 2026) Analysis & Trends
Since fiscal Q3 2009, Open Text has reported Retained Earnings for 70 quarters.
- Annual Retained Earnings shows a five-year compound annual growth rate of -1.3% (FY2021 to FY2026).
- In prior fiscal years, Open Text's Retained Earnings was $1.94 billion in FY2025 (-8.4%), $2.12 billion in FY2024 (+3.4%), $2.05 billion in FY2023 (-5.1%) and $2.16 billion in FY2022 (+0.3%).
- The fiscal Q4 2026 figure stands as the highest quarterly Retained Earnings since fiscal Q3 2025.
- On a year-over-year basis, Retained Earnings increased in four of the last eight quarters, with an average decline of 2.3%.
- The strongest year-over-year quarter for Retained Earnings in the past five years was fiscal Q2 2025, with growth of 7.1%; the weakest was fiscal Q1 2023, with a decline of 11.1%.
- According to Business Quant data, Retained Earnings for the three prior fiscal quarters was $1.95 billion (Q3 2026), $1.97 billion (Q2 2026) and $1.94 billion (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 50.59 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | -6.11 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | -7.51 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | -1.23 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 7.67 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | -1.70 Bn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | -4.02 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | -1.66 Bn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 2.02 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.02 Bn |
| Mar 31, 2026 | 1.95 Bn |
| Dec 31, 2025 | 1.97 Bn |
| Sep 30, 2025 | 1.94 Bn |
| Jun 30, 2025 | 1.94 Bn |
| Mar 31, 2025 | 2.08 Bn |
| Dec 31, 2024 | 2.17 Bn |
| Sep 30, 2024 | 2.07 Bn |
| Jun 30, 2024 | 2.12 Bn |
| Mar 31, 2024 | 2.06 Bn |
| Dec 31, 2023 | 2.03 Bn |
| Sep 30, 2023 | 2.06 Bn |
| Jun 30, 2023 | 2.05 Bn |
| Mar 31, 2023 | 2.16 Bn |
| Dec 31, 2022 | 2.17 Bn |
| Sep 30, 2022 | 1.98 Bn |
| Jun 30, 2022 | 2.16 Bn |
| Mar 31, 2022 | 2.15 Bn |
| Dec 31, 2021 | 2.17 Bn |
| Sep 30, 2021 | 2.23 Bn |
Open Text Retained Earnings 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=retained-earnings&ticker=OTEX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();