Open Text (OTEX) Long-Term Debt Repayments (2009 - 2026)
Open Text (OTEX) recorded Long-Term Debt Repayments of $458.96 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), compared with $8.96 million a year earlier and up 166.9% from the prior quarter.
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Analysis
Open Text (OTEX) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), Open Text reported Long-Term Debt Repayments of $648.85 million.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 1.2% (FY2021 to FY2026).
- Across earlier fiscal years, Long-Term Debt Repayments came in at $35.85 million in FY2025 (-98.6%), $2.57 billion in FY2024, $202.93 million in FY2023 (-76.4%) and $860 million in FY2022 (+41.0%).
- The fiscal Q4 2026 figure is the highest quarterly Long-Term Debt Repayments since fiscal Q4 2024.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 977.4% in fiscal Q4 2024, against a decline of 99.7% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $171.96 million (Q3 2026), $8.96 million (Q2 2026) and $8.96 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | 250.00 Mn |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | - |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | 64,000.00 |
| 4 | Autodesk | 43.68 Bn | 31.72 Bn | 1.87 Bn | - |
| 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 | - |
| 8 | Nice | 6.72 Bn | 5.19 Bn | 995.81 Mn | - |
| 9 | RingCentral | 6.26 Bn | 5.75 Bn | 472.31 Mn | - |
| 10 | Open Text | 5.43 Bn | 861.81 Mn | 1.01 Bn | 458.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 458.96 Mn |
| Mar 31, 2026 | 171.96 Mn |
| Dec 31, 2025 | 8.96 Mn |
| Sep 30, 2025 | 8.96 Mn |
| Jun 30, 2025 | 8.96 Mn |
| Mar 31, 2025 | 8.96 Mn |
| Dec 31, 2024 | 8.96 Mn |
| Sep 30, 2024 | 8.96 Mn |
| Jun 30, 2024 | 2.01 Bn |
| Mar 31, 2024 | 186.46 Mn |
| Dec 31, 2023 | 186.46 Mn |
| Sep 30, 2023 | 186.46 Mn |
| Jun 30, 2023 | 186.46 Mn |
| Mar 31, 2023 | 11.46 Mn |
| Dec 31, 2022 | 2.50 Mn |
| Sep 30, 2022 | 2.50 Mn |
| Jun 30, 2022 | 2.50 Mn |
| Mar 31, 2022 | 2.50 Mn |
| Dec 31, 2021 | 852.50 Mn |
| Sep 30, 2021 | 2.50 Mn |
API Access
Open Text Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();