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 | 336.76 Bn | 292.75 Bn | 10.28 Bn | 3.08 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 719.00 Mn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | -116.00 Mn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 456.00 Mn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 350.00 Mn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 202.80 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 167.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 66.60 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 138.00 Mn |
| 10 | Jupiter Neurosciences | 1.72 Mn | -6.19 Mn | 21,064.00 | -2.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.82 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();