Eupraxia Pharmaceuticals (EPRX) EBITDA (2023 - 2026)
Eupraxia Pharmaceuticals (EPRX) posted EBITDA of -$16.64 million for Q4 2025, compared with -$6.27 million a year earlier.
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Analysis
Eupraxia Pharmaceuticals (EPRX) EBITDA (2023 - 2026) Analysis & Trends
For FY2025, Eupraxia Pharmaceuticals' EBITDA came in at -$38.35 million.
- In prior years, Eupraxia Pharmaceuticals' EBITDA was -$24.97 million in FY2024, -$27.6 million in FY2023 and -$17.86 million in FY2022.
- The Q4 2025 figure stands as the lowest quarterly EBITDA in data going back to Q1 2023.
- According to Business Quant data, EBITDA for the three prior quarters was -$6.31 million (Q3 2025), -$8.69 million (Q2 2025) and -$6.72 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 8.95 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 8.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 8.16 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 7.34 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 5.99 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 4.83 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 4.20 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 7.05 Bn |
| 10 | Eupraxia Pharmaceuticals | 304.87 Mn | -174.66 Mn | - | -15.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -15.07 Mn |
| Dec 31, 2025 | -16.64 Mn |
| Sep 30, 2025 | -6.31 Mn |
| Jun 30, 2025 | -8.69 Mn |
| Mar 31, 2025 | -6.72 Mn |
| Dec 31, 2024 | -6.27 Mn |
| Sep 30, 2024 | -5.95 Mn |
| Jun 30, 2024 | -6.31 Mn |
| Mar 31, 2024 | -6.44 Mn |
| Jun 30, 2023 | -9.77 Mn |
| Mar 31, 2023 | -4.21 Mn |
API Access
Eupraxia Pharmaceuticals EBITDA 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=ebitda&ticker=EPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=EPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();