Jupiter Neurosciences (JUNS) Interest Coverage Ratio (2023 - 2026)
Jupiter Neurosciences' Interest Coverage Ratio came in at -30.27 for Q2 2026, compared with -1995.49 a year earlier.
Jupiter Neurosciences (JUNS) Interest Coverage Ratio (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Jupiter Neurosciences reported Interest Coverage Ratio of -65.08; for FY2025, it came in at -134.94.
- Going back by year, Interest Coverage Ratio was -12.45 in FY2024 and -17.70 in FY2023.
- The Q2 2026 figure represents the highest quarterly Interest Coverage Ratio since Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Cover (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 337.81 Bn | 293.80 Bn | 10.28 Bn | 16.74 |
| 2 | Colgate Palmolive | 68.01 Bn | 63.06 Bn | 3.30 Bn | 16.39 |
| 3 | Kenvue | 33.93 Bn | 29.54 Bn | 2.30 Bn | - |
| 4 | Estee Lauder Companies | 33.63 Bn | 21.70 Bn | 2.74 Bn | -0.48 |
| 5 | Kimberly Clark | 32.41 Bn | 29.73 Bn | 1.60 Bn | 11.94 |
| 6 | Church & Dwight | 22.35 Bn | 20.88 Bn | 693.90 Mn | 11.42 |
| 7 | Clorox | 9.80 Bn | 8.24 Bn | 804.00 Mn | 8.62 |
| 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 | 6.27 |
| 10 | Jupiter Neurosciences | 1.62 Mn | -6.29 Mn | 21,064.00 | -30.27 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -30.27 |
| Dec 31, 2025 | -44.97 |
| Sep 30, 2025 | -1,925.44 |
| Jun 30, 2025 | -1,995.49 |
| Mar 31, 2025 | -1,251.43 |
| Dec 31, 2024 | -47.74 |
| Sep 30, 2024 | -4.60 |
| Jun 30, 2024 | -9.90 |
| Mar 31, 2024 | -8.68 |
| Dec 31, 2023 | -9.17 |
| Sep 30, 2023 | -17.89 |
Jupiter Neurosciences Interest Coverage Ratio 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-coverage-ratio&ticker=JUNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-coverage-ratio", "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-coverage-ratio&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();