Eupraxia Pharmaceuticals (EPRX) Total Current Liabilities (2022 - 2026)
Eupraxia Pharmaceuticals (EPRX) reported Total Current Liabilities of $8.55 million for the quarter ended Jun 30, 2026, up 226.6% from $2.62 million a year earlier and up 16.1% from the prior quarter.
Eupraxia Pharmaceuticals (EPRX) Total Current Liabilities (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Eupraxia Pharmaceuticals posted Total Current Liabilities of $5.63 million, up 81.4% from the prior year.
- Total Current Liabilities has a three-year compound annual growth rate of 22.5% (years ended Dec 2022 to Dec 2025).
- By year, Total Current Liabilities came in at $3.1 million in the year ended Dec 31, 2024 (-84.0%), $19.37 million in the year ended Dec 31, 2023 (+533.5%) and $3.06 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Total Current Liabilities since the quarter ended Jun 30, 2024.
- Year over year, Total Current Liabilities has now increased in each of the last four quarters, with growth averaging 50.5% over the last seven quarters.
- The high point for year-over-year Total Current Liabilities in five years was the quarter ended Dec 31, 2023 (growth of 533.5%); the low point was the quarter ended Mar 31, 2025 (a decline of 88.1%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $7.36 million (quarter ended Mar 31, 2026), $5.63 million (quarter ended Dec 31, 2025) and $3.81 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Eupraxia Pharmaceuticals | 328.04 Mn | 326.44 Mn | - | 8.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.55 Mn |
| Mar 31, 2026 | 7.36 Mn |
| Dec 31, 2025 | 5.63 Mn |
| Sep 30, 2025 | 3.81 Mn |
| Jun 30, 2025 | 2.62 Mn |
| Mar 31, 2025 | 2.20 Mn |
| Dec 31, 2024 | 3.10 Mn |
| Sep 30, 2024 | 2.37 Mn |
| Jun 30, 2024 | 11.60 Mn |
| Mar 31, 2024 | 18.53 Mn |
| Dec 31, 2023 | 19.37 Mn |
| Dec 31, 2022 | 3.06 Mn |
Eupraxia Pharmaceuticals Total Current 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-current-liabilities&ticker=EPRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=EPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();