Jupiter Neurosciences (JUNS) Shares Outstanding (Diluted) (2023 - 2026)
Jupiter Neurosciences (JUNS) posted Weighted Average Shares Outstanding (Diluted) of 557,567 for Q2 2026, up 26.0% from 442,413 a year earlier.
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Analysis
Jupiter Neurosciences (JUNS) Shares Outstanding (Diluted) (2023 - 2026) Analysis & Trends
For FY2025, Jupiter Neurosciences' Weighted Average Shares Outstanding (Diluted) came in at 461,715, up 20.3% from FY2024.
- In prior years, Jupiter Neurosciences' Weighted Average Shares Outstanding (Diluted) was 383,774 in FY2024 (+9.0%) and 352,068 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q3 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 2.41 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 799.70 Mn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 366.10 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 1.93 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 333.70 Mn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 238.70 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 122.03 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 60.09 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 211.80 Mn |
| 10 | Jupiter Neurosciences | 1.21 Mn | -7.19 Mn | 21,064.00 | 557,567.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 557,567.00 |
| Mar 31, 2026 | 470,075.00 |
| Dec 31, 2025 | 461,715.00 |
| Sep 30, 2025 | 453,865.00 |
| Jun 30, 2025 | 442,413.00 |
| Mar 31, 2025 | 441,385.00 |
| Dec 31, 2024 | 383,774.00 |
| Sep 30, 2024 | 414,209.00 |
| Jun 30, 2024 | 407,897.00 |
| Mar 31, 2024 | 353,685.00 |
| Dec 31, 2023 | 352,068.00 |
| Sep 30, 2023 | 352,029.00 |
API Access
Jupiter Neurosciences 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=JUNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "JUNS", "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=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();