Jupiter Neurosciences (JUNS) Total Current Liabilities (2023 - 2026)
Jupiter Neurosciences (JUNS) reported Total Current Liabilities of $3.88 million for Q2 2026, up 47.6% from $2.63 million a year earlier.
Jupiter Neurosciences (JUNS) Total Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, Jupiter Neurosciences posted Total Current Liabilities of $7.4 million, up 268.1% from FY2024.
- By year, Total Current Liabilities came in at $2.01 million in FY2024 (-65.2%) and $5.77 million in FY2023.
- Five-year quarterly Total Current Liabilities spans a low of $1.89 million in Q1 2025 and a high of $7.4 million in Q4 2025.
- Year over year, Total Current Liabilities gained in two of the last four quarters, with growth averaging 48.7%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 45.00 Bn |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 6.64 Bn |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 6.26 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 6.22 Bn |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 6.67 Bn |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 1.85 Bn |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 2.95 Bn |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | 380.25 Mn |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 663.00 Mn |
| 10 | Jupiter Neurosciences | 1.21 Mn | -7.19 Mn | 21,064.00 | 3.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.88 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 | 1.89 Mn |
| Dec 31, 2024 | 2.01 Mn |
| Sep 30, 2024 | 5.68 Mn |
| Dec 31, 2023 | 5.77 Mn |
Jupiter Neurosciences Total Current 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-current-liabilities&ticker=JUNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();