Jupiter Neurosciences (JUNS) Times Interest Earned (2023 - 2026)
Jupiter Neurosciences' (JUNS) Times Interest Earned was -30.27 for Q2 2026, compared with -1995.49 a year earlier.
Jupiter Neurosciences (JUNS) Times Interest Earned (2023 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Jupiter Neurosciences' Times Interest Earned came in at -65.08; for FY2025, it was -134.94.
- By year, Times Interest Earned came in at -12.45 in FY2024 and -17.70 in FY2023.
- The Q2 2026 figure ranks as the highest quarterly Times Interest Earned since Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 393.58 Bn | 345.38 Bn | 11.60 Bn | 26.62 |
| 2 | Colgate Palmolive | 79.23 Bn | 74.06 Bn | 3.23 Bn | 17.55 |
| 3 | Estee Lauder Companies | 40.61 Bn | 27.71 Bn | 2.81 Bn | 4.92 |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 7.93 |
| 5 | Kimberly Clark | 36.40 Bn | 32.48 Bn | 1.44 Bn | 10.75 |
| 6 | Church & Dwight | 26.67 Bn | 25.06 Bn | 749.40 Mn | 12.09 |
| 7 | Clorox | 13.24 Bn | 11.66 Bn | 770.00 Mn | 8.67 |
| 8 | e.l.f. Beauty | 6.97 Bn | 5.79 Bn | 370.22 Mn | - |
| 9 | Reynolds Consumer Products | 5.22 Bn | 4.91 Bn | 236.00 Mn | 4.45 |
| 10 | Jupiter Neurosciences | 1.21 Mn | -7.19 Mn | 21,064.00 | -30.27 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -30.27 |
| Mar 31, 2026 | -16.55 |
| 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 Times Interest Earned 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=times-interest-earned&ticker=JUNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=JUNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();