Open Text (OTEX) Long-Term Debt Issuances (2016 - 2023)
Open Text (OTEX) reported Long-Term Debt Issuances of $4.93 billion for FY2023 (year ended Jun 30, 2023), up 228.5% from $1.5 billion in FY2022.
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Analysis
Open Text (OTEX) Long-Term Debt Issuances (2016 - 2023) Analysis & Trends
Dating back to FY2015, Open Text's Long-Term Debt Issuances record includes 7 fiscal years.
- Long-Term Debt Issuances has a five-year compound annual growth rate of 32.6% (FY2018 to FY2023).
- The FY2023 figure ranks as the highest annual Long-Term Debt Issuances in data going back to FY2015.
- According to Business Quant data, Long-Term Debt Issuances came in at $1.5 billion in FY2022 and $3.15 billion in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Adobe | 93.82 Bn | 69.07 Bn | 6.00 Bn | - |
| 2 | Atlassian | 46.64 Bn | 39.92 Bn | 1.53 Bn | - |
| 3 | Twilio | 44.91 Bn | 34.90 Bn | 725.87 Mn | - |
| 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 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 3.93 Bn |
| Mar 31, 2020 | 2.40 Bn |
| Jun 30, 2018 | 1.00 Bn |
| Sep 30, 2017 | 200.00 Mn |
| Mar 31, 2017 | 225.00 Mn |
| Jun 30, 2016 | 600.00 Mn |
API Access
Open Text Long-Term Debt Issuances 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-issuances&ticker=OTEX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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-issuances&ticker=OTEX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();