Regenxbio (RGNX) Shares Outstanding (2014 - 2026)
Regenxbio (RGNX) reported Weighted Average Shares Outstanding of 52.82 million for Q2 2026, up 2.6% from 51.48 million a year earlier and up 0.7% from the prior quarter.
Regenxbio (RGNX) Shares Outstanding (2014 - 2026) Analysis & Trends
For FY2025, Regenxbio posted Weighted Average Shares Outstanding of 51.57 million, up 4.2% from FY2024.
- Weighted Average Shares Outstanding has increased for 12 consecutive years, with a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 49.51 million in FY2024 (+13.2%), 43.73 million in FY2023 (+1.3%), 43.15 million in FY2022 (+1.7%) and 42.44 million in FY2021 (+13.8%).
- The Q2 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding in data going back to Q3 2014.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 44 quarters, with growth averaging 6.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding ranged from 1.0% (Q2 2023) to 16.2% (Q2 2024).
- Per Business Quant data, the three quarters before Q2 2026 came in at 52.43 million (Q1 2026), 51.57 million (Q4 2025) and 51.69 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 891.90 Mn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 1.77 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 2.47 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | 1.94 Bn |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 1.55 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 541.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 1.24 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 5.70 Bn |
| 10 | Regenxbio | 508.48 Mn | -228.57 Mn | - | 65.26 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 65.26 Mn |
| Jun 30, 2026 | 52.82 Mn |
| Mar 31, 2026 | 52.43 Mn |
| Dec 31, 2025 | 51.57 Mn |
| Sep 30, 2025 | 51.69 Mn |
| Jun 30, 2025 | 51.48 Mn |
| Mar 31, 2025 | 51.36 Mn |
| Dec 31, 2024 | 49.51 Mn |
| Sep 30, 2024 | 50.80 Mn |
| Jun 30, 2024 | 50.60 Mn |
| Mar 31, 2024 | 45.73 Mn |
| Dec 31, 2023 | 43.73 Mn |
| Sep 30, 2023 | 43.95 Mn |
| Jun 30, 2023 | 43.53 Mn |
| Mar 31, 2023 | 43.45 Mn |
| Dec 31, 2022 | 43.15 Mn |
| Sep 30, 2022 | 43.25 Mn |
| Jun 30, 2022 | 43.11 Mn |
| Mar 31, 2022 | 42.94 Mn |
| Dec 31, 2021 | 42.44 Mn |
Regenxbio Shares Outstanding 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&ticker=RGNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "RGNX", "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&ticker=RGNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();