Jupiter Neurosciences (JUNS) Net Cash Flow (2023 - 2025)
Jupiter Neurosciences (JUNS) posted Net Cash Flow of -$2.37 million for Q4 2025, compared with $3.77 million a year earlier.
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Analysis
Jupiter Neurosciences (JUNS) Net Cash Flow (2023 - 2025) Analysis & Trends
For FY2025, Jupiter Neurosciences' Net Cash Flow came in at $19,832, down 99.5% from FY2024.
- In prior years, Jupiter Neurosciences' Net Cash Flow was $3.74 million in FY2024 and -$35,953 in FY2023.
- The Q4 2025 figure stands as the lowest quarterly Net Cash Flow in data going back to Q4 2023.
- According to Business Quant data, Net Cash Flow for the three prior quarters was -$1.15 million (Q3 2025), -$828,222 (Q2 2025) and -$1.06 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | -2.37 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 22.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 23.00 Mn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 361.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 803.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | -248.40 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | -1.04 Bn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 54.53 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | -5.00 Mn |
| 10 | Jupiter Neurosciences | 1.62 Mn | -6.29 Mn | 21,064.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -2.37 Mn |
| Sep 30, 2025 | -1.15 Mn |
| Jun 30, 2025 | -828,222.00 |
| Mar 31, 2025 | -1.06 Mn |
| Dec 31, 2024 | 3.77 Mn |
| Sep 30, 2024 | -14,598.00 |
| Jun 30, 2024 | 6,538.00 |
| Mar 31, 2024 | -20,165.00 |
| Dec 31, 2023 | -31,137.00 |
API Access
Jupiter Neurosciences Net Cash Flow 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-cash-flow&ticker=JUNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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-cash-flow&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();