Apimeds Pharmaceuticals US (APUS) Interest Expenses (2024 - 2026)
Apimeds Pharmaceuticals US's Interest Expenses was $3.22 million in Q2 2026, compared with $23,054 a year earlier.
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Analysis
Apimeds Pharmaceuticals US (APUS) Interest Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Apimeds Pharmaceuticals US's Interest Expenses was $3.47 million through Jun 30, 2026; for FY2025, it was $283,011, up 140.4% from FY2024.
- In earlier years, Interest Expenses was $117,719 in FY2024 (+209.2%) and $38,069 in FY2023.
- The Q2 2026 figure marks the highest quarterly Interest Expenses in data going back to Q1 2024.
- Compared with a year earlier, Interest Expenses was higher in three of the last four quarters, with growth averaging 115.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 281.00 Mn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | - |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 462.00 Mn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 435.00 Mn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 673.00 Mn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 247.00 Mn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | - |
| 10 | Apimeds Pharmaceuticals US | 5.65 Mn | -13.98 Mn | - | 3.22 Mn |
Historic Data
Download Data
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 |
API Access
Apimeds Pharmaceuticals US 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=APUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=interest-expenses&ticker=APUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();