Open Text (OTEX) Cash & Equivalents (2009 - 2026)
Open Text's Cash & Equivalents came in at $983.29 million for fiscal Q1 2027 (quarter ended Sep 30, 2026), down 9.5% from $1.09 billion a year earlier but up 2.9% from the prior quarter.
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Analysis
Open Text (OTEX) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Open Text's Cash & Equivalents was $956.02 million, down 17.3% from FY2025.
- 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 five-year range for quarterly Cash & Equivalents is $919.85 million (fiscal Q1 2024) to $2.82 billion (fiscal Q2 2023).
- Year-over-year, Cash & Equivalents has declined for three consecutive quarters, with growth averaging 1.1% over the last eight quarters.
- 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 $956.02 million (Q4 2026), $1.25 billion (Q3 2026) and $1.27 billion (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 95.04 Bn | 70.29 Bn | 6.00 Bn | 4.36 Bn |
| 2 | Autodesk | 55.26 Bn | 43.30 Bn | 1.87 Bn | 4.10 Bn |
| 3 | Atlassian | 37.81 Bn | 32.74 Bn | 1.51 Bn | 1.12 Bn |
| 4 | Twilio | 32.70 Bn | 22.33 Bn | 760.53 Mn | 1.06 Bn |
| 5 | Zoom Communications | 29.17 Bn | -1.56 Bn | 985.50 Mn | 931.99 Mn |
| 6 | Figma | 10.36 Bn | 3.67 Bn | 314.44 Mn | 508.03 Mn |
| 7 | Dropbox | 7.27 Bn | 2.69 Bn | 513.70 Mn | 1.10 Bn |
| 8 | RingCentral | 6.37 Bn | 5.90 Bn | 494.30 Mn | 110.12 Mn |
| 9 | Open Text | 6.00 Bn | 1.54 Bn | 905.53 Mn | 983.29 Mn |
| 10 | Box | 5.99 Bn | 4.88 Bn | 253.97 Mn | 342.87 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 983.29 Mn |
| 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 |
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();