Open Text (OTEX) Net Long-Term Debt Issued (Repaid) (2009 - 2026)
Open Text's Non-Current Debt was $600 million in fiscal Q4 2016 (quarter ended Jun 30, 2016).
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Analysis
Open Text (OTEX) Net Long-Term Debt Issued (Repaid) (2009 - 2026) Analysis & Trends
- Non-Current Debt shows a four-year compound annual growth rate of -1.9% (FY2012 to FY2016).
- In earlier fiscal years, Non-Current Debt was $800 million in FY2015 (unchanged), $800 million in FY2014 and $648.5 million in FY2012.
- The fiscal Q4 2016 figure marks the highest quarterly Non-Current Debt since fiscal Q2 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.84 Bn | 69.09 Bn | 6.00 Bn | -250.00 Mn |
| 2 | Autodesk | 55.44 Bn | 43.47 Bn | 1.87 Bn | - |
| 3 | Atlassian | 40.30 Bn | 33.58 Bn | 1.53 Bn | - |
| 4 | Twilio | 31.65 Bn | 21.29 Bn | 760.53 Mn | -65,000.00 |
| 5 | Zoom Communications | 27.00 Bn | -3.73 Bn | 985.50 Mn | - |
| 6 | Figma | 10.35 Bn | 3.67 Bn | 314.44 Mn | - |
| 7 | Dropbox | 7.32 Bn | 2.95 Bn | 506.50 Mn | -35.30 Mn |
| 8 | Open Text | 6.19 Bn | 1.62 Bn | 1.01 Bn | -458.96 Mn |
| 9 | RingCentral | 6.11 Bn | 5.64 Bn | 494.30 Mn | -117.97 Mn |
| 10 | Nice | 6.03 Bn | 4.61 Bn | 1.49 Bn | - |
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 | 3.92 Bn |
| 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 Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();