Jupiter Neurosciences (JUNS) Change in Other Operating Assets (2023 - 2026)
Jupiter Neurosciences' Change in Other Operating Assets was -$34,245 in Q4 2025, compared with $139,460 a year earlier.
Analysis
Jupiter Neurosciences (JUNS) Change in Other Operating Assets (2023 - 2026) Analysis & Trends
For FY2025, Change in Other Operating Assets at Jupiter Neurosciences came in at -$3,890.
- In earlier years, Change in Other Operating Assets was $115,611 in FY2024 and -$4,996 in FY2023.
- The Q4 2025 figure marks the lowest quarterly Change in Other Operating Assets in data going back to Q4 2023.
- Per Business Quant data, JUNS's Change in Other Operating Assets in the three quarters before Q4 2025 was -$31,685 (Q3 2025), $37,275 (Q2 2025) and $24,765 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Other Assets Change (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 | -1.00 Mn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 6.00 Mn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 2.00 Mn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | - |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | -8.00 Mn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 44.00 Mn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 32.13 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | -6.00 Mn |
| 10 | Jupiter Neurosciences | 1.21 Mn | -7.19 Mn | 21,064.00 | -3,687.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3,687.00 |
| Mar 31, 2026 | 26,154.00 |
| Dec 31, 2025 | -34,245.00 |
| Sep 30, 2025 | -31,685.00 |
| Jun 30, 2025 | 37,275.00 |
| Mar 31, 2025 | 24,765.00 |
| Dec 31, 2024 | 139,460.00 |
| Sep 30, 2024 | -24,391.00 |
| Jun 30, 2024 | 343.00 |
| Mar 31, 2024 | 199.00 |
| Dec 31, 2023 | 174.00 |
API Access
Jupiter Neurosciences Change in Other Operating 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=change-in-other-operating-assets&ticker=JUNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-other-operating-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=change-in-other-operating-assets&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();