Apimeds Pharmaceuticals US (APUS) Times Interest Earned (2024 - 2026)
Apimeds Pharmaceuticals US's (APUS) Times Interest Earned came in at -1.95 for Q2 2026, compared with -115.55 a year earlier.
Apimeds Pharmaceuticals US (APUS) Times Interest Earned (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Times Interest Earned at Apimeds Pharmaceuticals US was -5.14; for FY2025, it came in at -42.09.
- In prior years, Apimeds Pharmaceuticals US's Times Interest Earned was -10.83 in FY2024 and -19.63 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Times Interest Earned in data going back to Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 25.41 |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | - |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 10.28 |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 7.27 |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 5.22 |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -42.08 |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Apimeds Pharmaceuticals US | 5.44 Mn | -14.20 Mn | - | -1.95 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.95 |
| Dec 31, 2025 | -32.65 |
| Sep 30, 2025 | -292.69 |
| Jun 30, 2025 | -115.55 |
| Mar 31, 2025 | -9.58 |
| Dec 31, 2024 | -7.65 |
| Sep 30, 2024 | -9.19 |
| Jun 30, 2024 | -19.34 |
| Mar 31, 2024 | -10.10 |
Apimeds Pharmaceuticals US 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=APUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "ticker": "APUS", "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=APUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();