Jupiter Neurosciences (JUNS) Interest Expenses (2023 - 2026)
Jupiter Neurosciences (JUNS) posted Interest Expenses of $90,618 for Q2 2026, compared with $1,135 a year earlier.
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Analysis
Jupiter Neurosciences (JUNS) Interest Expenses (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Jupiter Neurosciences was $155,409, up 10.8% year-over-year; for FY2025, it was $66,020, down 73.4% from FY2024.
- In prior years, Jupiter Neurosciences' Interest Expenses was $248,366 in FY2024 (+13.6%) and $218,705 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Interest Expenses since Q3 2024.
- On a year-over-year basis, Interest Expenses increased in two of the last six quarters, with an average decline of 34.2%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 236.00 Mn |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 62.00 Mn |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | - |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | 81.00 Mn |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 53.00 Mn |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 24.20 Mn |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 55.00 Mn |
| 8 | e.l.f. Beauty | 5.95 Bn | 4.92 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.56 Bn | 4.22 Bn | 245.00 Mn | 22.00 Mn |
| 10 | Jupiter Neurosciences | 1.62 Mn | -6.29 Mn | 21,064.00 | 90,618.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90,618.00 |
| Dec 31, 2025 | 62,463.00 |
| Sep 30, 2025 | 1,193.00 |
| Jun 30, 2025 | 1,135.00 |
| Mar 31, 2025 | 1,229.00 |
| Dec 31, 2024 | 30,545.00 |
| Sep 30, 2024 | 107,382.00 |
| Jun 30, 2024 | 56,290.00 |
| Mar 31, 2024 | 65,756.00 |
| Dec 31, 2023 | 58,383.00 |
| Sep 30, 2023 | 80,610.00 |
API Access
Jupiter Neurosciences Interest Expenses 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=interest-expenses&ticker=JUNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();