Eupraxia Pharmaceuticals (EPRX) Net Long-Term Debt Issued (Repaid) (2023 - 2024)
Eupraxia Pharmaceuticals' Net Long-Term Debt Issued (Repaid) was -$9.2 million in Q4 2024, compared with -$138,584 a year earlier.
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Analysis
Eupraxia Pharmaceuticals (EPRX) Net Long-Term Debt Issued (Repaid) (2023 - 2024) Analysis & Trends
For FY2024, Net Long-Term Debt Issued (Repaid) at Eupraxia Pharmaceuticals came in at -$9.14 million.
- In earlier years, Net Long-Term Debt Issued (Repaid) was -$79,441 in FY2023 and -$142,268 in FY2022.
- The Q4 2024 figure marks the lowest quarterly Net Long-Term Debt Issued (Repaid) in data going back to Q1 2023.
- Per Business Quant data, EPRX's Net Long-Term Debt Issued (Repaid) in the three quarters before Q4 2024 was $21,262 (Q3 2024), $20,842 (Q2 2024) and $20,547 (Q1 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net LT Debt (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 | -1.00 Mn |
| 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 | 4.91 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | -3.05 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | -19.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Eupraxia Pharmaceuticals | 304.87 Mn | -174.66 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -9.20 Mn |
| Sep 30, 2024 | 21,262.00 |
| Jun 30, 2024 | 20,842.00 |
| Mar 31, 2024 | 20,547.00 |
| Dec 31, 2023 | -138,584.00 |
| Sep 30, 2023 | 19,992.00 |
| Jun 30, 2023 | 19,751.00 |
| Mar 31, 2023 | 19,400.00 |
API Access
Eupraxia Pharmaceuticals Net Long-Term Debt Issued (Repaid) 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=non-current-debt&ticker=EPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "EPRX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=EPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();