Apimeds Pharmaceuticals US (APUS) Net Cash Flow (2024 - 2025)
Apimeds Pharmaceuticals US (APUS) reported Net Cash Flow of -$5.35 million for Q4 2025, compared with -$23,116 a year earlier.
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Analysis
Apimeds Pharmaceuticals US (APUS) Net Cash Flow (2024 - 2025) Analysis & Trends
For FY2025, Apimeds Pharmaceuticals US posted Net Cash Flow of $1.63 million.
- By year, Net Cash Flow came in at -$407,026 in FY2024 and $404,310 in FY2023.
- The Q4 2025 figure ranks as the lowest quarterly Net Cash Flow in data going back to Q1 2024.
- Per Business Quant data, the three quarters before Q4 2025 came in at -$1.75 million (Q3 2025), $8.5 million (Q2 2025) and $246,887 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | NCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn | 3.72 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn | -3.52 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn | -2.82 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn | 1.53 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn | 757.00 Mn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn | -3.94 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn | 1.95 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn | -4.43 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn | -722.00 Mn |
| 10 | Apimeds Pharmaceuticals US | 4.68 Mn | -14.96 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -5.35 Mn |
| Sep 30, 2025 | -1.75 Mn |
| Jun 30, 2025 | 8.50 Mn |
| Mar 31, 2025 | 246,887.00 |
| Dec 31, 2024 | -23,116.00 |
| Sep 30, 2024 | -36,755.00 |
| Jun 30, 2024 | -184,055.00 |
| Mar 31, 2024 | -263,100.00 |
API Access
Apimeds Pharmaceuticals US Net Cash Flow 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-cash-flow&ticker=APUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-cash-flow", "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-cash-flow&ticker=APUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();