IRulya Therapeutics (IRLA) Long-Term Debt Repayments (2020 - 2023)
IRulya Therapeutics' Long-Term Debt Repayments was $6,000 in FY2023, down 87.8% from $49,000 in FY2022.
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Analysis
IRulya Therapeutics (IRLA) Long-Term Debt Repayments (2020 - 2023) Analysis & Trends
From FY2019 onward, IRulya Therapeutics has reported Long-Term Debt Repayments for 4 years.
- Long-Term Debt Repayments shows a four-year compound annual growth rate of -67.8% (FY2019 to FY2023).
- Per Business Quant data, Long-Term Debt Repayments in earlier years was $49,000 in FY2022, $34,000 in FY2020 (-93.9%) and $559,000 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,261.99 Bn | 1,235.61 Bn | 20.46 Bn | - |
| 2 | Johnson & Johnson | 678.93 Bn | 598.79 Bn | 17.30 Bn | 1.00 Mn |
| 3 | AbbVie | 518.29 Bn | 486.30 Bn | 13.12 Bn | - |
| 4 | Merck | 365.98 Bn | 328.92 Bn | 13.19 Bn | - |
| 5 | Novartis Ag | 316.85 Bn | 290.09 Bn | - | - |
| 6 | Astrazeneca | 293.40 Bn | 267.29 Bn | 13.26 Bn | -4.91 Bn |
| 7 | Amgen | 251.78 Bn | 203.43 Bn | 7.58 Bn | 3.05 Bn |
| 8 | Gilead Sciences | 210.61 Bn | 185.71 Bn | 6.73 Bn | 19.00 Mn |
| 9 | Pfizer | 166.87 Bn | 114.23 Bn | 12.56 Bn | - |
| 10 | IRulya Therapeutics | 207.35 Mn | 91.35 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 6,000.00 |
| Dec 31, 2022 | 18,000.00 |
| Sep 30, 2022 | 19,000.00 |
| Jun 30, 2022 | 12,000.00 |
| Dec 31, 2020 | 2,000.00 |
| Jun 30, 2020 | 3,000.00 |
| Mar 31, 2020 | 29,000.00 |
API Access
IRulya Therapeutics 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=IRLA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "IRLA", "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=IRLA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();