Open Text (OTEX) Cash from Operations (2009 - 2026)
Open Text (OTEX) reported Cash from Operations of $185.8 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 17.5% from $158.19 million a year earlier but down 47.6% from the prior quarter.
Powered by 
Analysis
Open Text (OTEX) Cash from Operations (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text posted Cash from Operations of $1.01 billion, up 21.2% from FY2025.
- Cash from Operations has a five-year compound annual growth rate of 2.8% (FY2021 to FY2026).
- By fiscal year, Cash from Operations came in at $830.62 million in FY2025 (-14.2%), $967.69 million in FY2024 (+24.2%), $779.21 million in FY2023 (-20.6%) and $981.81 million in FY2022 (+12.1%).
- Five-year quarterly Cash from Operations spans a low of -$77.81 million in fiscal Q1 2025 and a high of $402.24 million in fiscal Q3 2025.
- Year over year, Cash from Operations gained in two of the last six quarters, with an average decline of 2.3%.
- The high point for year-over-year Cash from Operations in five years was fiscal Q3 2022 (growth of 409.0%); the low point was fiscal Q1 2024 (a decline of 64.3%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at $354.59 million (Q3 2026), $318.66 million (Q2 2026) and $147.76 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 2.52 Bn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | 479.14 Mn |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 372.39 Mn |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | 575.00 Mn |
| 5 | Zoom Communications | 26.53 Bn | -4.25 Bn | 985.50 Mn | - |
| 6 | Figma | 11.16 Bn | 4.66 Bn | 309.61 Mn | - |
| 7 | Dropbox | 7.44 Bn | 3.07 Bn | 506.50 Mn | 238.50 Mn |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | 301.90 Mn |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | 206.43 Mn |
| 10 | Open Text | 5.43 Bn | 861.81 Mn | 1.01 Bn | 185.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 185.80 Mn |
| Mar 31, 2026 | 354.59 Mn |
| Dec 31, 2025 | 318.66 Mn |
| Sep 30, 2025 | 147.76 Mn |
| Jun 30, 2025 | 158.19 Mn |
| Mar 31, 2025 | 402.24 Mn |
| Dec 31, 2024 | 347.99 Mn |
| Sep 30, 2024 | -77.81 Mn |
| Jun 30, 2024 | 185.22 Mn |
| Mar 31, 2024 | 384.70 Mn |
| Dec 31, 2023 | 350.65 Mn |
| Sep 30, 2023 | 47.12 Mn |
| Jun 30, 2023 | 115.30 Mn |
| Mar 31, 2023 | 336.78 Mn |
| Dec 31, 2022 | 195.17 Mn |
| Sep 30, 2022 | 131.96 Mn |
| Jun 30, 2022 | 251.94 Mn |
| Mar 31, 2022 | 323.56 Mn |
| Dec 31, 2021 | 216.64 Mn |
| Sep 30, 2021 | 189.67 Mn |
API Access
Open Text Cash from 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=cash-from-operations&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-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=cash-from-operations&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();