Jupiter Neurosciences (JUNS) Other Non-Current Assets (2023 - 2026)
Jupiter Neurosciences (JUNS) recorded Other Non-Current Assets of $618,058 in Q2 2026, down 43.7% from $1.1 million a year earlier.
Analysis
Jupiter Neurosciences (JUNS) Other Non-Current Assets (2023 - 2026) Analysis & Trends
At the end of FY2025, Jupiter Neurosciences reported Other Non-Current Assets of $712,055, down 51.8% from FY2024.
- Across earlier years, Other Non-Current Assets came in at $1.48 million in FY2024 and $3,783 in FY2023.
- The Q2 2026 figure is the lowest quarterly Other Non-Current Assets since Q3 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 12.23 Bn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 1.03 Bn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | 692.00 Mn |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 9.35 Bn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 1.93 Bn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 352.40 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 517.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | 165.67 Mn |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 102.00 Mn |
| 10 | Jupiter Neurosciences | 1.62 Mn | -6.29 Mn | 21,064.00 | 618,058.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 618,058.00 |
| Dec 31, 2025 | 712,055.00 |
| Sep 30, 2025 | 905,297.00 |
| Jun 30, 2025 | 1.10 Mn |
| Mar 31, 2025 | 1.29 Mn |
| Dec 31, 2024 | 1.48 Mn |
| Sep 30, 2024 | 3,783.00 |
| Dec 31, 2023 | 3,783.00 |
API Access
Jupiter Neurosciences Other 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=other-non-current-assets&ticker=JUNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-assets&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();