Jupiter Neurosciences (JUNS) Consolidated Net Income (2023 - 2026)
Jupiter Neurosciences' Consolidated Net Income came in at -$2.82 million for Q2 2026, compared with -$2.25 million a year earlier.
Jupiter Neurosciences (JUNS) Consolidated Net Income (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jupiter Neurosciences reported Consolidated Net Income of -$10.24 million; for FY2025, it came in at -$8.97 million.
- Going back by year, Consolidated Net Income was -$3.33 million in FY2024 and -$4.09 million in FY2023.
- The five-year range for quarterly Consolidated Net Income is -$2.87 million (Q4 2025) to -$600,906 (Q3 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Consol Net Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 4.76 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 779.00 Mn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 233.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 430.00 Mn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 1.80 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 212.20 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 173.00 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 30.01 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 98.00 Mn |
| 10 | Jupiter Neurosciences | 1.21 Mn | -7.19 Mn | 21,064.00 | -2.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.82 Mn |
| Mar 31, 2026 | -2.06 Mn |
| Dec 31, 2025 | -2.87 Mn |
| Sep 30, 2025 | -2.29 Mn |
| Jun 30, 2025 | -2.25 Mn |
| Mar 31, 2025 | -1.53 Mn |
| Dec 31, 2024 | -1.48 Mn |
| Sep 30, 2024 | -600,906.00 |
| Jun 30, 2024 | -613,314.00 |
| Mar 31, 2024 | -636,389.00 |
| Dec 31, 2023 | -638,354.00 |
| Sep 30, 2023 | -1.52 Mn |
Jupiter Neurosciences Consolidated Net Income 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=consolidated-net-income&ticker=JUNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "consolidated-net-income", "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=consolidated-net-income&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();