Jupiter Neurosciences (JUNS) Net Income (2023 - 2026)
Jupiter Neurosciences' Net Income was -$2.82 million in Q2 2026, compared with -$2.25 million a year earlier.
Jupiter Neurosciences (JUNS) Net Income (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jupiter Neurosciences' Net Income was -$10.24 million through Jun 30, 2026; for FY2025, it was -$8.97 million.
- In earlier years, Net Income was -$3.33 million in FY2024 and -$4.09 million in FY2023.
- Quarterly Net Income has moved between -$2.87 million (Q4 2025) and -$600,906 (Q3 2024) over five years.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 3.08 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 719.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 456.00 Mn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | -116.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 350.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 202.80 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 167.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 66.60 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 138.00 Mn |
| 10 | Jupiter Neurosciences | 1.62 Mn | -6.29 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 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=net-income&ticker=JUNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=net-income&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();