Jupiter Neurosciences (JUNS) Non-Current Assets (2023 - 2026)
Jupiter Neurosciences' Non-Current Assets was $1.17 million in Q2 2026, up 1.8% from $1.15 million a year earlier.
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Analysis
Jupiter Neurosciences (JUNS) Non-Current Assets (2023 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Jupiter Neurosciences came in at $739,052, down 52.4% from FY2024.
- In earlier years, Non-Current Assets was $1.55 million in FY2024 and $119,853 in FY2023.
- The Q2 2026 figure marks the highest quarterly Non-Current Assets since Q1 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 100.62 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 10.39 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 12.14 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 20.73 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 11.77 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 7.57 Bn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 5.90 Bn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 1.59 Bn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 3.91 Bn |
| 10 | Jupiter Neurosciences | 1.21 Mn | -7.19 Mn | 21,064.00 | 1.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.17 Mn |
| Mar 31, 2026 | 538,404.00 |
| Dec 31, 2025 | 739,052.00 |
| Sep 30, 2025 | 943,901.00 |
| Jun 30, 2025 | 1.15 Mn |
| Mar 31, 2025 | 1.35 Mn |
| Dec 31, 2024 | 1.55 Mn |
| Sep 30, 2024 | 85,032.00 |
| Dec 31, 2023 | 119,853.00 |
API Access
Jupiter Neurosciences Non-Current Assets 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=non-current-assets&ticker=JUNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();