Apimeds Pharmaceuticals US (APUS) Change in Accured Expenses (2024 - 2025)
Apimeds Pharmaceuticals US's Change in Accured Expenses came in at $448,494 for Q3 2025, up 296.4% from $113,128 a year earlier.
Apimeds Pharmaceuticals US (APUS) Change in Accured Expenses (2024 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Apimeds Pharmaceuticals US reported Change in Accured Expenses of $151,675; for FY2024, it came in at $536,752, up 904.5% from FY2023.
- Going back by year, Change in Accured Expenses was $53,436 in FY2023.
- Business Quant data shows APUS's Change in Accured Expenses at -$816,064 (Q2 2025), $344,012 (Q1 2025) and $175,233 (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | - |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 2.41 Bn |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 1.20 Bn |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | - |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | - |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | - |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 901.00 Mn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 338.00 Mn |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | - |
| 10 | Apimeds Pharmaceuticals US | 4.97 Mn | -14.67 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 448,494.00 |
| Jun 30, 2025 | -816,064.00 |
| Mar 31, 2025 | 344,012.00 |
| Dec 31, 2024 | 175,233.00 |
| Sep 30, 2024 | 113,128.00 |
| Jun 30, 2024 | 243,184.00 |
| Mar 31, 2024 | 5,207.00 |
Apimeds Pharmaceuticals US Change in Accured 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=change-in-accured-expenses&ticker=APUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=APUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();