Eupraxia Pharmaceuticals (EPRX) Operating Expenses (2023 - 2026)
Eupraxia Pharmaceuticals' Operating Expenses came in at $18.1 million for the quarter ended Jun 30, 2026, up 119.1% from $8.26 million a year earlier and up 13.4% from the prior quarter.
Eupraxia Pharmaceuticals (EPRX) Operating Expenses (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Eupraxia Pharmaceuticals reported Operating Expenses of $57.11 million, up 95.9% year-over-year; for the year ended Dec 31, 2025, it came in at $38.43 million, up 42.3% from the prior year.
- Operating Expenses carries a three-year compound annual growth rate of 29.7% (years ended Dec 2022 to Dec 2025).
- Going back by year, Operating Expenses was $27 million in the year ended Dec 31, 2024 (-3.0%), $27.85 million in the year ended Dec 31, 2023 (+58.1%) and $17.62 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 represents the highest quarterly Operating Expenses in data going back to the quarter ended Mar 31, 2023.
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 44.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in the quarter ended Mar 31, 2026 (growth of 124.0%), and the weakest in the quarter ended Dec 31, 2024 (a decline of 37.5%).
- Business Quant data shows EPRX's Operating Expenses at $15.96 million (quarter ended Mar 31, 2026), $16.16 million (quarter ended Dec 31, 2025) and $6.88 million (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 10.12 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 10.56 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 12.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -6.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -9.70 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 6.54 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 18.20 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 6.68 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 2.09 Bn |
| 10 | Eupraxia Pharmaceuticals | 328.04 Mn | 326.44 Mn | - | 18.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.10 Mn |
| Mar 31, 2026 | 15.96 Mn |
| Dec 31, 2025 | 16.16 Mn |
| Sep 30, 2025 | 6.88 Mn |
| Jun 30, 2025 | 8.26 Mn |
| Mar 31, 2025 | 7.12 Mn |
| Dec 31, 2024 | 7.48 Mn |
| Sep 30, 2024 | 6.27 Mn |
| Jun 30, 2024 | 6.56 Mn |
| Mar 31, 2024 | 6.69 Mn |
| Dec 31, 2023 | 11.98 Mn |
| Sep 30, 2023 | 6.62 Mn |
| Jun 30, 2023 | 5.71 Mn |
| Mar 31, 2023 | 3.54 Mn |
Eupraxia Pharmaceuticals Operating 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=operating-expenses&ticker=EPRX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=EPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();