Open Text (OTEX) Total Non-Current Liabilities (2009 - 2026)
Open Text's Total Non-Current Liabilities came in at $6.47 billion for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 8.9% from $7.1 billion a year earlier and down 5.3% from the prior quarter.
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Analysis
Open Text (OTEX) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
Going back to fiscal Q3 2009, Open Text's Total Non-Current Liabilities data covers 69 quarters.
- Total Non-Current Liabilities has declined in each of the last three fiscal years, though with a five-year compound annual growth rate of 9.3% (FY2021 to FY2026).
- Going back by fiscal year, Total Non-Current Liabilities was $7.1 billion in FY2025 (-1.5%), $7.21 billion in FY2024 (-26.8%), $9.85 billion in FY2023 (+110.5%) and $4.68 billion in FY2022 (+12.8%).
- The fiscal Q4 2026 figure represents the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2023.
- Year-over-year, Total Non-Current Liabilities has declined for ten consecutive quarters, with an average decline of 11.4% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q4 2023 (growth of 110.5%), and the weakest in fiscal Q4 2024 (a decline of 26.8%).
- Business Quant data shows OTEX's Total Non-Current Liabilities at $6.83 billion (Q3 2026), $7.02 billion (Q2 2026) and $7.06 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 100.89 Bn | 76.14 Bn | 6.00 Bn | 17.07 Bn |
| 2 | Atlassian | 58.64 Bn | 51.92 Bn | 1.53 Bn | 4.95 Bn |
| 3 | Autodesk | 51.48 Bn | 39.51 Bn | 1.87 Bn | 9.06 Bn |
| 4 | Twilio | 40.78 Bn | 30.85 Bn | 725.87 Mn | 1.85 Bn |
| 5 | Zoom Communications | 29.13 Bn | -1.65 Bn | 985.50 Mn | 2.17 Bn |
| 6 | Figma | 12.17 Bn | 5.67 Bn | 309.61 Mn | 865.77 Mn |
| 7 | Dropbox | 8.25 Bn | 3.88 Bn | 506.50 Mn | 4.94 Bn |
| 8 | Nice | 7.17 Bn | 5.64 Bn | 995.81 Mn | 238.53 Mn |
| 9 | RingCentral | 6.96 Bn | 6.46 Bn | 472.31 Mn | 1.96 Bn |
| 10 | Open Text | 6.66 Bn | 2.09 Bn | 1.01 Bn | 6.47 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.47 Bn |
| Mar 31, 2026 | 6.83 Bn |
| Dec 31, 2025 | 7.02 Bn |
| Sep 30, 2025 | 7.06 Bn |
| Jun 30, 2025 | 7.10 Bn |
| Mar 31, 2025 | 7.10 Bn |
| Dec 31, 2024 | 7.10 Bn |
| Sep 30, 2024 | 7.14 Bn |
| Jun 30, 2024 | 7.21 Bn |
| Mar 31, 2024 | 9.27 Bn |
| Dec 31, 2023 | 9.45 Bn |
| Sep 30, 2023 | 9.72 Bn |
| Jun 30, 2023 | 9.85 Bn |
| Mar 31, 2023 | 9.82 Bn |
| Dec 31, 2022 | 5.60 Bn |
| Sep 30, 2022 | 4.65 Bn |
| Jun 30, 2022 | 4.68 Bn |
| Mar 31, 2022 | 4.69 Bn |
| Dec 31, 2021 | 4.73 Bn |
| Sep 30, 2021 | 4.11 Bn |
API Access
Open Text Total Non-Current 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-non-current-liabilities&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();