Apimeds Pharmaceuticals US (APUS) Net Income (2024 - 2026)
Apimeds Pharmaceuticals US's Net Income came in at -$9.48 million for Q2 2026, compared with -$2.67 million a year earlier.
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Analysis
Apimeds Pharmaceuticals US (APUS) Net Income (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Apimeds Pharmaceuticals US reported Net Income of -$21.17 million; for FY2025, it was -$12.09 million.
- Going back by year, Net Income was -$1.39 million in FY2024 and -$777,694 in FY2023.
- The Q2 2026 figure represents the lowest quarterly Net Income in data going back to Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,133.17 Bn | 1,101.76 Bn | 19.71 Bn | 7.10 Bn |
| 2 | Johnson & Johnson | 634.79 Bn | 554.65 Bn | 17.30 Bn | 210.00 Mn |
| 3 | AbbVie | 506.40 Bn | 479.51 Bn | 12.70 Bn | 3.62 Bn |
| 4 | Merck | 357.93 Bn | 312.31 Bn | 12.21 Bn | -1.34 Bn |
| 5 | Novartis Ag | 292.69 Bn | 256.68 Bn | 11.24 Bn | 3.26 Bn |
| 6 | Astrazeneca | 265.19 Bn | 238.87 Bn | 12.86 Bn | 2.51 Bn |
| 7 | Amgen | 238.22 Bn | 193.61 Bn | 7.24 Bn | 2.38 Bn |
| 8 | Gilead Sciences | 195.23 Bn | 169.43 Bn | 6.22 Bn | -10.50 Bn |
| 9 | Pfizer | 171.11 Bn | 117.76 Bn | 10.94 Bn | -248.00 Mn |
| 10 | Apimeds Pharmaceuticals US | 4.92 Mn | -14.72 Mn | - | -20.17 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -20.17 Mn |
| Dec 31, 2025 | -1.16 Mn |
| Sep 30, 2025 | -1.78 Mn |
| Jun 30, 2025 | -2.66 Mn |
| Mar 31, 2025 | -402,397.00 |
| Dec 31, 2024 | -311,633.00 |
| Sep 30, 2024 | -332,521.00 |
| Jun 30, 2024 | -449,363.00 |
| Mar 31, 2024 | -296,473.00 |
API Access
Apimeds Pharmaceuticals US Net Income 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=net-income&ticker=APUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=APUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();