Eupraxia Pharmaceuticals (EPRX) Change in Accured Expenses (2023 - 2026)
Eupraxia Pharmaceuticals (EPRX) reported Change in Accured Expenses of $1.35 million for the quarter ended Jun 30, 2026, up 298.1% from $340,201 a year earlier but down 12.0% from the prior quarter.
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Analysis
Eupraxia Pharmaceuticals (EPRX) Change in Accured Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Eupraxia Pharmaceuticals' Change in Accured Expenses came in at $5.81 million; for the year ended Dec 31, 2025, it came in at $2.36 million.
- Change in Accured Expenses has a three-year compound annual growth rate of 21.3% (years ended Dec 2022 to Dec 2025).
- By year, Change in Accured Expenses came in at -$714,878 in the year ended Dec 31, 2024, $577,908 in the year ended Dec 31, 2023 (-56.4%) and $1.32 million in the year ended Dec 31, 2022.
- Five-year quarterly Change in Accured Expenses spans a low of -$1.87 trillion in the quarter ended Sep 30, 2024 and a high of $1.87 trillion in the quarter ended Jun 30, 2024.
- Year over year, Change in Accured Expenses gained in three of the last four quarters, with growth averaging 83.8%.
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $1.54 million (quarter ended Mar 31, 2026), $1.76 million (quarter ended Dec 31, 2025) and $1.15 million (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn | 2.96 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn | -251.00 Mn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn | - |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn | - |
| 10 | Eupraxia Pharmaceuticals | 289.28 Mn | 287.68 Mn | - | 1.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.35 Mn |
| Mar 31, 2026 | 1.54 Mn |
| Dec 31, 2025 | 1.76 Mn |
| Sep 30, 2025 | 1.15 Mn |
| Jun 30, 2025 | 340,201.00 |
| Mar 31, 2025 | -894,360.00 |
| Dec 31, 2024 | 870,816.00 |
| Sep 30, 2024 | -1,865.71 Bn |
| Jun 30, 2024 | 1,865.71 Bn |
| Mar 31, 2024 | 107,712.00 |
| Dec 31, 2023 | 646,066.00 |
| Sep 30, 2023 | 230,948.00 |
| Jun 30, 2023 | 1.17 Mn |
| Mar 31, 2023 | -1.47 Mn |
API Access
Eupraxia Pharmaceuticals Change in Accured 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=change-in-accured-expenses&ticker=EPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=EPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();