Apimeds Pharmaceuticals US (APUS) Operating Expenses (2024 - 2026)
Apimeds Pharmaceuticals US (APUS) posted Operating Expenses of $6.28 million for Q2 2026, up 135.7% from $2.66 million a year earlier.
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Analysis
Apimeds Pharmaceuticals US (APUS) Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Apimeds Pharmaceuticals US was $17.83 million, up 394.7% year-over-year; for FY2025, it was $11.91 million, up 834.2% from FY2024.
- In prior years, Apimeds Pharmaceuticals US's Operating Expenses was $1.28 million in FY2024 (+70.6%) and $747,436 in FY2023.
- Quarterly Operating Expenses has run from a low of $271,726 in Q1 2024 to a high of $7.04 million in Q4 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,146.94 Bn | 1,115.53 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 624.96 Bn | 543.49 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 510.15 Bn | 483.27 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 366.13 Bn | 320.51 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 297.75 Bn | 261.74 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.93 Bn | 235.62 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 236.51 Bn | 191.91 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 171.74 Bn | 118.39 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Apimeds Pharmaceuticals US | 5.65 Mn | -13.98 Mn | - | 6.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.28 Mn |
| Dec 31, 2025 | 7.04 Mn |
| Sep 30, 2025 | 1.84 Mn |
| Jun 30, 2025 | 2.66 Mn |
| Mar 31, 2025 | 364,368.00 |
| Dec 31, 2024 | 275,613.00 |
| Sep 30, 2024 | 299,999.00 |
| Jun 30, 2024 | 427,757.00 |
| Mar 31, 2024 | 271,726.00 |
API Access
Apimeds Pharmaceuticals US Operating 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=operating-expenses&ticker=APUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=APUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();