Jupiter Neurosciences (JUNS) Retained Earnings (2023 - 2026)
Jupiter Neurosciences (JUNS) posted Retained Earnings of -$39 million for Q2 2026, compared with -$29.8 million a year earlier.
Powered by 
Analysis
Jupiter Neurosciences (JUNS) Retained Earnings (2023 - 2026) Analysis & Trends
At the end of FY2025, Jupiter Neurosciences' Retained Earnings came in at -$34.67 million.
- In prior years, Jupiter Neurosciences' Retained Earnings was -$26.02 million in FY2024 and -$23.58 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Retained Earnings in data going back to Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 135.85 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 27.09 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | -70.00 Mn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 11.34 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 9.77 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 7.04 Bn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 386.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | -89.33 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 853.00 Mn |
| 10 | Jupiter Neurosciences | 1.62 Mn | -6.29 Mn | 21,064.00 | -39.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -39.00 Mn |
| Dec 31, 2025 | -34.67 Mn |
| Sep 30, 2025 | -32.09 Mn |
| Jun 30, 2025 | -29.80 Mn |
| Mar 31, 2025 | -27.55 Mn |
| Dec 31, 2024 | -26.02 Mn |
| Sep 30, 2024 | -24.49 Mn |
| Dec 31, 2023 | -23.58 Mn |
API Access
Jupiter Neurosciences Retained Earnings 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=retained-earnings&ticker=JUNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();