Open Text (OTEX) Total Liabilities (2009 - 2026)
Open Text (OTEX) recorded Total Liabilities of $9.09 billion in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 7.7% from $9.84 billion a year earlier and down 2.9% from the prior quarter.
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Analysis
Open Text (OTEX) Total Liabilities (2009 - 2026) Analysis & Trends
Starting with fiscal Q3 2009, Open Text's Total Liabilities history includes 69 quarters.
- Annual Total Liabilities has declined for three straight fiscal years, though with a five-year compound annual growth rate of 10.5% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $9.84 billion in FY2025 (-1.6%), $10.01 billion in FY2024 (-23.4%), $13.07 billion in FY2023 (+112.6%) and $6.15 billion in FY2022 (+11.6%).
- The fiscal Q4 2026 figure is the lowest quarterly Total Liabilities since fiscal Q2 2023.
- On a year-over-year basis, Total Liabilities rose in 1 of the last eight quarters, with an average decline of 10.1%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 117.9% in fiscal Q3 2023, against a decline of 23.5% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $9.36 billion (Q3 2026), $9.52 billion (Q2 2026) and $9.52 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 90.32 Bn | 65.57 Bn | 6.00 Bn | 18.22 Bn |
| 2 | Atlassian | 46.45 Bn | 39.73 Bn | 1.53 Bn | 5.05 Bn |
| 3 | Twilio | 44.08 Bn | 34.07 Bn | 725.87 Mn | 1.86 Bn |
| 4 | Autodesk | 43.30 Bn | 31.34 Bn | 1.87 Bn | 9.60 Bn |
| 5 | Zoom Communications | 25.52 Bn | -5.27 Bn | 985.50 Mn | 2.28 Bn |
| 6 | Figma | 10.74 Bn | 4.24 Bn | 309.61 Mn | 873.37 Mn |
| 7 | Dropbox | 7.01 Bn | 2.65 Bn | 506.50 Mn | 5.01 Bn |
| 8 | Nice | 6.59 Bn | 5.06 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.37 Bn | 5.87 Bn | 472.31 Mn | 1.99 Bn |
| 10 | Open Text | 5.38 Bn | 813.39 Mn | 1.01 Bn | 9.09 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.09 Bn |
| Mar 31, 2026 | 9.36 Bn |
| Dec 31, 2025 | 9.52 Bn |
| Sep 30, 2025 | 9.52 Bn |
| Jun 30, 2025 | 9.84 Bn |
| Mar 31, 2025 | 9.62 Bn |
| Dec 31, 2024 | 9.50 Bn |
| Sep 30, 2024 | 9.64 Bn |
| Jun 30, 2024 | 10.01 Bn |
| Mar 31, 2024 | 12.26 Bn |
| Dec 31, 2023 | 12.41 Bn |
| Sep 30, 2023 | 12.54 Bn |
| Jun 30, 2023 | 13.07 Bn |
| Mar 31, 2023 | 13.30 Bn |
| Dec 31, 2022 | 7.10 Bn |
| Sep 30, 2022 | 6.23 Bn |
| Jun 30, 2022 | 6.15 Bn |
| Mar 31, 2022 | 6.11 Bn |
| Dec 31, 2021 | 6.03 Bn |
| Sep 30, 2021 | 5.31 Bn |
API Access
Open Text Total Liabilities 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=total-liabilities&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();