X4 Pharmaceuticals (XFOR) Long-Term Debt Repayments (2017 - 2023)
X4 Pharmaceuticals' Long-Term Debt Repayments came in at $2.06 million for FY2023, up 159.6% from $795,000 in FY2022.
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Analysis
X4 Pharmaceuticals (XFOR) Long-Term Debt Repayments (2017 - 2023) Analysis & Trends
Going back to FY2016, X4 Pharmaceuticals' Long-Term Debt Repayments data covers 5 years.
- Long-Term Debt Repayments carries a five-year compound annual growth rate of -20.2% (FY2018 to FY2023).
- The FY2023 figure represents the highest annual Long-Term Debt Repayments since FY2019.
- Per Business Quant, earlier years put Long-Term Debt Repayments at $795,000 in FY2022 and $9.37 million in FY2019 (+46.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 873.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 1.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 2.00 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 5.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 20.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 2.46 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 17.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | X4 Pharmaceuticals | 379.03 Mn | -319.65 Mn | 7.19 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2023 | 764,000.00 |
| Mar 31, 2023 | 1.30 Mn |
| Mar 31, 2022 | 795,000.00 |
| Sep 30, 2019 | 6.45 Mn |
| Dec 31, 2018 | 4.88 Mn |
| Sep 30, 2018 | 500,000.00 |
| Jun 30, 2018 | 500,000.00 |
| Mar 31, 2018 | 500,000.00 |
| Dec 31, 2017 | -1.75 Mn |
| Sep 30, 2017 | 585,000.00 |
| Jun 30, 2017 | 583,000.00 |
| Mar 31, 2017 | 582,000.00 |
API Access
X4 Pharmaceuticals 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=XFOR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "XFOR", "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=XFOR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();