Eupraxia Pharmaceuticals (EPRX) Operating Leases (2022 - 2026)
Eupraxia Pharmaceuticals' Operating Leases came in at $1.68 million for the quarter ended Jun 30, 2026, down 6.7% from the prior quarter.
Analysis
Eupraxia Pharmaceuticals (EPRX) Operating Leases (2022 - 2026) Analysis & Trends
As of Dec 31, 2025, Eupraxia Pharmaceuticals' Operating Leases was $75,910.
- Operating Leases carries a three-year compound annual growth rate of 14.0% (years ended Dec 2022 to Dec 2025).
- Going back by year, Operating Leases was $53,316 in the year ended Dec 31, 2023 (+3.9%) and $51,303 in the year ended Dec 31, 2022.
- The five-year range for quarterly Operating Leases is $37,848 (the quarter ended Mar 31, 2024) to $1.8 million (the quarter ended Mar 31, 2026).
- Business Quant data shows EPRX's Operating Leases at $1.8 million (quarter ended Mar 31, 2026), $75,910 (quarter ended Dec 31, 2025) and $94,467 (quarter ended Sep 30, 2025) in the three quarters before the quarter ended Jun 30, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Eupraxia Pharmaceuticals | 328.04 Mn | 326.44 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.68 Mn |
| Mar 31, 2026 | 1.80 Mn |
| Dec 31, 2025 | 75,910.00 |
| Sep 30, 2025 | 94,467.00 |
| Sep 30, 2024 | 78,752.00 |
| Jun 30, 2024 | 71,008.00 |
| Mar 31, 2024 | 37,848.00 |
| Dec 31, 2023 | 53,316.00 |
| Dec 31, 2022 | 51,303.00 |
API Access
Eupraxia Pharmaceuticals Operating Leases 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-leases&ticker=EPRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=EPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();