Outlook Therapeutics (OTLK) Long-Term Debt Issuances (2015 - 2022)
Outlook Therapeutics' Long-Term Debt Issuances came in at $33.1 million for FY2025 (year ended Sep 30, 2025).
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Analysis
Outlook Therapeutics (OTLK) Long-Term Debt Issuances (2015 - 2022) Analysis & Trends
Going back to FY2015, Outlook Therapeutics' Long-Term Debt Issuances data covers 8 fiscal years.
- Long-Term Debt Issuances carries a five-year compound annual growth rate of 105.5% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Long-Term Debt Issuances in data going back to FY2015.
- Per Business Quant, earlier fiscal years put Long-Term Debt Issuances at $30 million in FY2023 (+200.0%), $10 million in FY2022 (unchanged) and $10 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | - |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 9.98 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | - |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | - |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | - |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Outlook Therapeutics | 62.90 Mn | 27.15 Mn | -8,265.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 30.00 Mn |
| Dec 31, 2021 | 10.00 Mn |
| Dec 31, 2020 | 10.00 Mn |
| Jun 30, 2017 | 5.00 Mn |
| Mar 31, 2017 | 1.65 Mn |
| Dec 31, 2016 | 8.35 Mn |
| Sep 30, 2016 | 243,766.00 |
| Jun 30, 2016 | -163.00 |
| Mar 31, 2016 | 595,986.00 |
| Dec 31, 2015 | 187,388.00 |
| Jun 30, 2015 | 2.50 Mn |
API Access
Outlook Therapeutics 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=OTLK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "ticker": "OTLK", "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=OTLK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();