Jupiter Neurosciences (JUNS) Total Liabilities (2023 - 2026)
Jupiter Neurosciences' Total Liabilities was $4.08 million in Q2 2026, up 55.4% from $2.63 million a year earlier.
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Analysis
Jupiter Neurosciences (JUNS) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at Jupiter Neurosciences came in at $7.4 million, up 264.3% from FY2024.
- In earlier years, Total Liabilities was $2.03 million in FY2024 (-65.9%) and $5.95 million in FY2023.
- Quarterly Total Liabilities has moved between $1.9 million (Q1 2025) and $7.4 million (Q4 2025) over five years.
- Compared with a year earlier, Total Liabilities was higher in two of the last four quarters, with growth averaging 49.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 77.80 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 16.10 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 15.93 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 16.51 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 14.65 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 4.85 Bn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 7.71 Bn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 1.34 Bn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 2.78 Bn |
| 10 | Jupiter Neurosciences | 1.21 Mn | -7.19 Mn | 21,064.00 | 4.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4.08 Mn |
| Mar 31, 2026 | 6.73 Mn |
| Dec 31, 2025 | 7.40 Mn |
| Sep 30, 2025 | 2.52 Mn |
| Jun 30, 2025 | 2.63 Mn |
| Mar 31, 2025 | 1.90 Mn |
| Dec 31, 2024 | 2.03 Mn |
| Sep 30, 2024 | 5.84 Mn |
| Dec 31, 2023 | 5.95 Mn |
API Access
Jupiter Neurosciences Total Liabilities 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=total-liabilities&ticker=JUNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();