Eupraxia Pharmaceuticals (EPRX) Interest Expenses (2023 - 2024)
Eupraxia Pharmaceuticals' Interest Expenses was -$137.00 in the quarter ended Dec 31, 2024, compared with -$256,460 a year earlier.
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Analysis
Eupraxia Pharmaceuticals (EPRX) Interest Expenses (2023 - 2024) Analysis & Trends
For the year ended Dec 31, 2024, Interest Expenses at Eupraxia Pharmaceuticals came in at -$603,573.
- In earlier years, Interest Expenses was -$1.17 million in the year ended Dec 31, 2023 and -$982,856 in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2024 marks the highest quarterly Interest Expenses in data going back to the quarter ended Mar 31, 2023.
- Per Business Quant data, EPRX's Interest Expenses in the three quarters before the quarter ended Dec 31, 2024 was -$451.00 (quarter ended Sep 30, 2024), -$281,845 (quarter ended Jun 30, 2024) and -$321,140 (quarter ended Mar 31, 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | - |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | - |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 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 | Eupraxia Pharmaceuticals | 363.60 Mn | 362.00 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -137.00 |
| Sep 30, 2024 | -451.00 |
| Jun 30, 2024 | -281,845.00 |
| Mar 31, 2024 | -321,140.00 |
| Dec 31, 2023 | -256,460.00 |
| Sep 30, 2023 | -320,466.00 |
| Jun 30, 2023 | -301,770.00 |
| Mar 31, 2023 | -291,477.00 |
API Access
Eupraxia Pharmaceuticals Interest Expenses 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=interest-expenses&ticker=EPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=EPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();