Open Text (OTEX) Cash & Equivalents (2009 - 2026)
Open Text's Cash & Equivalents came in at $956.02 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 17.3% from $1.16 billion a year earlier and down 23.8% from the prior quarter.
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Analysis
Open Text (OTEX) Cash & Equivalents (2009 - 2026) Analysis & Trends
Going back to fiscal Q3 2009, Open Text's Cash & Equivalents data covers 70 quarters.
- Cash & Equivalents carries a five-year compound annual growth rate of -9.9% (FY2021 to FY2026).
- Going back by fiscal year, Cash & Equivalents was $1.16 billion in FY2025 (-9.7%), $1.28 billion in FY2024 (+4.0%), $1.23 billion in FY2023 (-27.3%) and $1.69 billion in FY2022 (+5.4%).
- The fiscal Q4 2026 figure represents the lowest quarterly Cash & Equivalents since fiscal Q1 2024.
- Year-over-year, Cash & Equivalents increased in five of the last eight quarters, with growth averaging 3.4%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q2 2023 (growth of 86.6%), and the weakest in fiscal Q2 2024 (a decline of 64.4%).
- Business Quant data shows OTEX's Cash & Equivalents at $1.25 billion (Q3 2026), $1.27 billion (Q2 2026) and $1.09 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 92.94 Bn | 68.19 Bn | 6.00 Bn | 4.36 Bn |
| 2 | Atlassian | 48.88 Bn | 42.16 Bn | 1.53 Bn | 1.24 Bn |
| 3 | Twilio | 45.24 Bn | 35.23 Bn | 725.87 Mn | 823.26 Mn |
| 4 | Autodesk | 44.31 Bn | 32.34 Bn | 1.87 Bn | 4.10 Bn |
| 5 | Zoom Communications | 27.15 Bn | -3.64 Bn | 985.50 Mn | 931.99 Mn |
| 6 | Figma | 11.33 Bn | 4.84 Bn | 309.61 Mn | 445.85 Mn |
| 7 | Dropbox | 7.45 Bn | 3.08 Bn | 506.50 Mn | 1.06 Bn |
| 8 | Nice | 6.88 Bn | 5.35 Bn | 995.81 Mn | 315.38 Mn |
| 9 | RingCentral | 6.55 Bn | 6.05 Bn | 472.31 Mn | 111.50 Mn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 956.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 956.02 Mn |
| Mar 31, 2026 | 1.25 Bn |
| Dec 31, 2025 | 1.27 Bn |
| Sep 30, 2025 | 1.09 Bn |
| Jun 30, 2025 | 1.16 Bn |
| Mar 31, 2025 | 1.28 Bn |
| Dec 31, 2024 | 1.12 Bn |
| Sep 30, 2024 | 1.00 Bn |
| Jun 30, 2024 | 1.28 Bn |
| Mar 31, 2024 | 1.13 Bn |
| Dec 31, 2023 | 1.00 Bn |
| Sep 30, 2023 | 919.85 Mn |
| Jun 30, 2023 | 1.23 Bn |
| Mar 31, 2023 | 1.40 Bn |
| Dec 31, 2022 | 2.82 Bn |
| Sep 30, 2022 | 1.70 Bn |
| Jun 30, 2022 | 1.69 Bn |
| Mar 31, 2022 | 1.63 Bn |
| Dec 31, 2021 | 1.51 Bn |
| Sep 30, 2021 | 1.74 Bn |
API Access
Open Text Cash & Equivalents 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-and-equivalents&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();