Eupraxia Pharmaceuticals (EPRX) Total Liabilities (2022 - 2026)
Eupraxia Pharmaceuticals' Total Liabilities was $10.23 million in the quarter ended Jun 30, 2026, up 290.8% from $2.62 million a year earlier and up 11.7% from the prior quarter.
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Analysis
Eupraxia Pharmaceuticals (EPRX) Total Liabilities (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Total Liabilities at Eupraxia Pharmaceuticals came in at $5.7 million, up 83.8% from the prior year.
- Total Liabilities shows a three-year compound annual growth rate of -21.8% (years ended Dec 2022 to Dec 2025).
- In earlier years, Total Liabilities was $3.1 million in the year ended Dec 31, 2024 (-84.0%), $19.37 million in the year ended Dec 31, 2023 (+62.6%) and $11.91 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Total Liabilities since the quarter ended Jun 30, 2024.
- Compared with a year earlier, Total Liabilities has increased for four straight quarters, with growth averaging 72.2% over the last seven quarters.
- The best year-over-year quarter for Total Liabilities over five years was the quarter ended Mar 31, 2026 (growth of 316.6%); the worst was the quarter ended Mar 31, 2025 (a decline of 88.1%).
- Per Business Quant data, EPRX's Total Liabilities in the three quarters before the quarter ended Jun 30, 2026 was $9.17 million (quarter ended Mar 31, 2026), $5.7 million (quarter ended Dec 31, 2025) and $3.91 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Eupraxia Pharmaceuticals | 328.04 Mn | 326.44 Mn | - | 10.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.23 Mn |
| Mar 31, 2026 | 9.17 Mn |
| Dec 31, 2025 | 5.70 Mn |
| Sep 30, 2025 | 3.91 Mn |
| Jun 30, 2025 | 2.62 Mn |
| Mar 31, 2025 | 2.20 Mn |
| Dec 31, 2024 | 3.10 Mn |
| Sep 30, 2024 | 2.39 Mn |
| Jun 30, 2024 | 11.64 Mn |
| Mar 31, 2024 | 18.53 Mn |
| Dec 31, 2023 | 19.37 Mn |
| Dec 31, 2022 | 11.91 Mn |
API Access
Eupraxia Pharmaceuticals Total Liabilities 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=total-liabilities&ticker=EPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();