BioRestorative Therapies (BRTX) Shares Outstanding (2010 - 2026)
BioRestorative Therapies (BRTX) reported Weighted Average Shares Outstanding of 886,387 for Q1 2026, up 112.1% from 417,857 a year earlier and up 97.1% from the prior quarter.
BioRestorative Therapies (BRTX) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, BioRestorative Therapies posted Weighted Average Shares Outstanding of 449,656, up 15.8% from FY2024.
- Weighted Average Shares Outstanding has increased for four consecutive years, though with a five-year compound annual growth rate of -64.4% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 388,197 in FY2024 (+84.1%), 210,917 in FY2023 (+16.6%), 180,893 in FY2022 (+204.6%) and 59,387 in FY2021 (-99.9%).
- The Q1 2026 figure ranks as the highest quarterly Weighted Average Shares Outstanding since Q2 2021.
- Year over year, Weighted Average Shares Outstanding has now increased in each of the last 15 quarters, with growth averaging 55.5% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q3 2022 (growth of 334.3%); the low point was Q3 2021 (a decline of 99.9%).
- Per Business Quant data, the three quarters before Q1 2026 came in at 449,656 (Q4 2025), 455,809 (Q3 2025) and 437,019 (Q2 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 | BioRestorative Therapies | 1.36 Mn | -17.06 Mn | 15,785.00 | 886,387.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 886,387.00 |
| Dec 31, 2025 | 449,656.00 |
| Sep 30, 2025 | 455,809.00 |
| Jun 30, 2025 | 437,019.00 |
| Mar 31, 2025 | 417,857.00 |
| Dec 31, 2024 | 388,197.00 |
| Sep 30, 2024 | 406,075.00 |
| Jun 30, 2024 | 406,075.00 |
| Mar 31, 2024 | 333,569.00 |
| Dec 31, 2023 | 210,917.00 |
| Sep 30, 2023 | 228,542.00 |
| Jun 30, 2023 | 194,315.00 |
| Mar 31, 2023 | 185,874.00 |
| Dec 31, 2022 | 180,893.00 |
| Sep 30, 2022 | 182,111.00 |
| Jun 30, 2022 | 181,919.00 |
| Mar 31, 2022 | 176,160.00 |
| Dec 31, 2021 | 59,387.00 |
| Sep 30, 2021 | 41,934.00 |
| Jun 30, 2021 | 145.99 Mn |
BioRestorative Therapies 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=BRTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "BRTX", "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=BRTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();