Eupraxia Pharmaceuticals (EPRX) Non Operating Interest Expenses (2023 - 2024)
Eupraxia Pharmaceuticals' Non Operating Interest Expenses came in at $1.21 million for Q4 2024, down 42.1% from $2.08 million a year earlier.
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Analysis
Eupraxia Pharmaceuticals (EPRX) Non Operating Interest Expenses (2023 - 2024) Analysis & Trends
For FY2024, Eupraxia Pharmaceuticals' Non Operating Interest Expenses was $603,573, down 48.4% from FY2023.
- Going back by year, Non Operating Interest Expenses was $1.17 million in FY2023 (+19.1%) and $982,856 in FY2022.
- The five-year range for quarterly Non Operating Interest Expenses is -$321,140 (Q1 2024) to $2.08 million (Q4 2023).
- Business Quant data shows EPRX's Non Operating Interest Expenses at -$451.00 (Q3 2024), -$281,845 (Q2 2024) and -$321,140 (Q1 2024) in the three quarters before Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 217.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 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 | -477.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 653.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 269.00 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 | 1.21 Mn |
| Sep 30, 2024 | -451.00 |
| Jun 30, 2024 | -281,845.00 |
| Mar 31, 2024 | -321,140.00 |
| Dec 31, 2023 | 2.08 Mn |
| Sep 30, 2023 | -320,466.00 |
| Jun 30, 2023 | -301,770.00 |
| Mar 31, 2023 | -291,477.00 |
API Access
Eupraxia Pharmaceuticals Non Operating 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=non-operating-interest-expenses&ticker=EPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=EPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();