Avalo Therapeutics (AVTX) Long-Term Debt Repayments (2015 - 2022)
Avalo Therapeutics' Long-Term Debt Repayments came in at $21.24 million for FY2023.
Analysis
Avalo Therapeutics (AVTX) Long-Term Debt Repayments (2015 - 2022) Analysis & Trends
Going back to FY2015, Avalo Therapeutics' Long-Term Debt Repayments data covers 5 years.
- Long-Term Debt Repayments carries a four-year compound annual growth rate of 201.8% (FY2019 to FY2023).
- The FY2023 figure represents the highest annual Long-Term Debt Repayments in data going back to FY2015.
- Per Business Quant, earlier years put Long-Term Debt Repayments at $256,140 in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 2.00 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 5.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -2.45 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 17.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Avalo Therapeutics | 668.42 Mn | 668.42 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -14.81 Mn |
| Jun 30, 2022 | 15.00 Mn |
| Dec 31, 2019 | 183,114.00 |
| Sep 30, 2019 | 24,342.00 |
| Jun 30, 2019 | 24,342.00 |
| Mar 31, 2019 | 24,342.00 |
| Sep 30, 2017 | 606,610.00 |
| Jun 30, 2017 | 892,721.00 |
| Mar 31, 2017 | 874,700.00 |
| Dec 31, 2016 | 854,732.00 |
| Sep 30, 2016 | 836,474.00 |
| Jun 30, 2016 | 819,119.00 |
| Mar 31, 2016 | 803,900.00 |
| Dec 31, 2015 | 787,946.00 |
| Sep 30, 2015 | 770,864.00 |
API Access
Avalo 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=AVTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "AVTX", "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=AVTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();