Eupraxia Pharmaceuticals (EPRX) Shares Outstanding (Diluted) (2022 - 2026)
Eupraxia Pharmaceuticals (EPRX) recorded Shares Outstanding (Diluted) of 39.96 million in the quarter ended Jun 30, 2026, up 17.8% from 33.93 million a year earlier and unchanged from the prior quarter.
Eupraxia Pharmaceuticals (EPRX) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
Starting with the quarter ended Dec 31, 2022, Eupraxia Pharmaceuticals' Shares Outstanding (Diluted) history includes 15 quarters.
- Annual Shares Outstanding (Diluted) has increased for three straight years, with a three-year compound annual growth rate of 27.5% (years ended Dec 2022 to Dec 2025).
- Across earlier years, Shares Outstanding (Diluted) came in at 33.93 million in the year ended Dec 31, 2024 (+40.5%), 24.15 million in the year ended Dec 31, 2023 (+25.2%) and 19.29 million in the year ended Dec 31, 2022.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for 11 consecutive quarters, with growth averaging 30.1% over the last eight quarters.
- Across the past five years, year-over-year growth in Shares Outstanding (Diluted) ran from 17.8% in the quarter ended Dec 31, 2025 to 40.5% in the quarter ended Sep 30, 2025.
- Per Business Quant, the preceding three quarters came in at 39.96 million (quarter ended Mar 31, 2026), 39.96 million (quarter ended Dec 31, 2025) and 33.93 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 2.44 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 1.77 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 2.47 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 1.96 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 1.56 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 544.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 1.24 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 5.70 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 255.20 Mn |
| 10 | Eupraxia Pharmaceuticals | 363.60 Mn | 362.00 Mn | - | 39.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.96 Mn |
| Mar 31, 2026 | 39.96 Mn |
| Dec 31, 2025 | 39.96 Mn |
| Sep 30, 2025 | 33.93 Mn |
| Jun 30, 2025 | 33.93 Mn |
| Mar 31, 2025 | 33.93 Mn |
| Dec 31, 2024 | 33.93 Mn |
| Sep 30, 2024 | 24.15 Mn |
| Jun 30, 2024 | 24.15 Mn |
| Mar 31, 2024 | 24.15 Mn |
| Dec 31, 2023 | 24.15 Mn |
| Sep 30, 2023 | 19.29 Mn |
| Jun 30, 2023 | 19.29 Mn |
| Mar 31, 2023 | 19.29 Mn |
| Dec 31, 2022 | 19.29 Mn |
Eupraxia Pharmaceuticals Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=EPRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=EPRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();