Jupiter Neurosciences (JUNS) Operating Expenses (2023 - 2026)
Jupiter Neurosciences (JUNS) reported Operating Expenses of $2.76 million for Q2 2026, up 22.0% from $2.26 million a year earlier.
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Analysis
Jupiter Neurosciences (JUNS) Operating Expenses (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Jupiter Neurosciences' Operating Expenses came in at $10.15 million, up 76.4% year-over-year; for FY2025, it came in at $8.93 million, up 188.8% from FY2024.
- By year, Operating Expenses came in at $3.09 million in FY2024 (-20.1%) and $3.87 million in FY2023.
- Five-year quarterly Operating Expenses spans a low of $493,547 in Q3 2024 and a high of $2.83 million in Q4 2025.
- Year over year, Operating Expenses gained in six of the last seven quarters, with growth averaging 152.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 344.85 Bn | 300.84 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 68.93 Bn | 63.99 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Kenvue | 34.39 Bn | 30.01 Bn | 2.30 Bn | 1.60 Bn |
| 4 | Estee Lauder Companies | 34.18 Bn | 22.26 Bn | 2.74 Bn | 2.78 Bn |
| 5 | Kimberly Clark | 32.92 Bn | 30.25 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.52 Bn | 21.05 Bn | 693.90 Mn | 252.20 Mn |
| 7 | Clorox | 9.87 Bn | 8.31 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 5.99 Bn | 4.97 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Jupiter Neurosciences | 1.66 Mn | -6.26 Mn | 21,064.00 | 2.76 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.76 Mn |
| Dec 31, 2025 | 2.83 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 Operating Expenses 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=operating-expenses&ticker=JUNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();