Jupiter Neurosciences (JUNS) Accumulated Expenses (2023 - 2026)
Jupiter Neurosciences (JUNS) reported Accumulated Expenses of $39,829 for Q4 2025, compared with $1,064 a year earlier and up 815.6% from the prior quarter.
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Analysis
Jupiter Neurosciences (JUNS) Accumulated Expenses (2023 - 2026) Analysis & Trends
Dating back to Q4 2023, Jupiter Neurosciences' Accumulated Expenses record includes 7 quarters.
- By year, Accumulated Expenses came in at $1,064 in FY2024 (-98.8%) and $88,000 in FY2023.
- The Q4 2025 figure ranks as the highest quarterly Accumulated Expenses since Q3 2024.
- Per Business Quant data, the three quarters before Q4 2025 came in at $4,350 (Q3 2025), $3,242 (Q2 2025) and $2,147 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn |
| 10 | Jupiter Neurosciences | 1.21 Mn | -7.19 Mn | 21,064.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2,351.00 |
| Mar 31, 2026 | 1,874.00 |
| Dec 31, 2025 | 39,829.00 |
| Sep 30, 2025 | 4,350.00 |
| Jun 30, 2025 | 3,242.00 |
| Mar 31, 2025 | 2,147.00 |
| Dec 31, 2024 | 1,064.00 |
| Sep 30, 2024 | 198,475.00 |
| Dec 31, 2023 | 88,000.00 |
API Access
Jupiter Neurosciences Accumulated 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=accumulated-expenses&ticker=JUNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();