Apimeds Pharmaceuticals US (APUS) Non Operating Interest Expenses (2024 - 2026)
Apimeds Pharmaceuticals US (APUS) posted Non Operating Interest Expenses of $3.22 million for Q2 2026, compared with $23,054 a year earlier.
Apimeds Pharmaceuticals US (APUS) Non Operating Interest Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Apimeds Pharmaceuticals US was $3.47 million; for FY2025, it came in at $283,011, up 140.4% from FY2024.
- In prior years, Apimeds Pharmaceuticals US's Non Operating Interest Expenses was $117,719 in FY2024 (+209.2%) and $38,069 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Non Operating Interest Expenses in data going back to Q1 2024.
- On a year-over-year basis, Non Operating Interest Expenses increased in three of the last four quarters, with growth averaging 115.7%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 281.00 Mn |
| 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 | 462.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | - |
| 10 | Apimeds Pharmaceuticals US | 5.44 Mn | -14.20 Mn | - | 3.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.22 Mn |
| Dec 31, 2025 | 215,624.00 |
| Sep 30, 2025 | 6,301.00 |
| Jun 30, 2025 | 23,054.00 |
| Mar 31, 2025 | 38,032.00 |
| Dec 31, 2024 | 36,050.00 |
| Sep 30, 2024 | 32,638.00 |
| Jun 30, 2024 | 22,123.00 |
| Mar 31, 2024 | 26,908.00 |
Apimeds Pharmaceuticals US Non Operating 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=non-operating-interest-expenses&ticker=APUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=APUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();