Jupiter Neurosciences (JUNS) EBIT (2023 - 2026)
Jupiter Neurosciences' EBIT was -$2.74 million in Q2 2026, compared with -$2.26 million a year earlier.
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Analysis
Jupiter Neurosciences (JUNS) EBIT (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Jupiter Neurosciences' EBIT was -$10.11 million through Jun 30, 2026; for FY2025, it was -$8.91 million.
- In earlier years, EBIT was -$3.09 million in FY2024 and -$3.87 million in FY2023.
- Quarterly EBIT has moved between -$2.81 million (Q4 2025) and -$493,547 (Q3 2024) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 388.61 Bn | 344.36 Bn | 10.28 Bn | 3.95 Bn |
| 2 | Colgate Palmolive | 77.49 Bn | 72.21 Bn | 3.30 Bn | 1.02 Bn |
| 3 | Estee Lauder Companies | 39.05 Bn | 27.13 Bn | 2.74 Bn | -39.00 Mn |
| 4 | Kenvue | 37.79 Bn | 33.40 Bn | 2.30 Bn | 699.00 Mn |
| 5 | Kimberly Clark | 36.87 Bn | 34.07 Bn | 1.60 Bn | 633.00 Mn |
| 6 | Church & Dwight | 25.67 Bn | 24.19 Bn | 693.90 Mn | 276.40 Mn |
| 7 | Clorox | 10.68 Bn | 8.95 Bn | 804.00 Mn | 474.00 Mn |
| 8 | e.l.f. Beauty | 6.74 Bn | 5.72 Bn | 398.84 Mn | 102.44 Mn |
| 9 | Reynolds Consumer Products | 4.92 Bn | 4.59 Bn | 245.00 Mn | 138.00 Mn |
| 10 | Jupiter Neurosciences | 1.53 Mn | -6.38 Mn | 21,064.00 | -2.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -2.74 Mn |
| Dec 31, 2025 | -2.81 Mn |
| Sep 30, 2025 | -2.30 Mn |
| Jun 30, 2025 | -2.26 Mn |
| Mar 31, 2025 | -1.54 Mn |
| Dec 31, 2024 | -1.46 Mn |
| Sep 30, 2024 | -493,547.00 |
| Jun 30, 2024 | -557,077.00 |
| Mar 31, 2024 | -570,695.00 |
| Dec 31, 2023 | -535,642.00 |
| Sep 30, 2023 | -1.44 Mn |
API Access
Jupiter Neurosciences EBIT 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=ebit&ticker=JUNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();