Raphael Pharmaceutical (RAPH) Accumulated Expenses (2021 - 2025)
Raphael Pharmaceutical (RAPH) reported Accumulated Expenses of $343,000 for Q4 2025, down 8.5% from $375,000 a year earlier.
Analysis
Raphael Pharmaceutical (RAPH) Accumulated Expenses (2021 - 2025) Analysis & Trends
Dating back to Q4 2021, Raphael Pharmaceutical's Accumulated Expenses record includes 5 quarters.
- Accumulated Expenses has a four-year compound annual growth rate of 20.1% (FY2021 to FY2025).
- By year, Accumulated Expenses came in at $375,000 in FY2024, $25,000 in FY2023 (-83.6%), $152,000 in FY2022 (-7.9%) and $165,000 in FY2021.
- The Q4 2025 figure ranks as the lowest quarterly Accumulated Expenses since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn |
| 10 | Raphael Pharmaceutical | 28.25 Mn | 28.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 343,000.00 |
| Dec 31, 2024 | 375,000.00 |
| Dec 31, 2023 | 25,000.00 |
| Dec 31, 2022 | 152,000.00 |
| Dec 31, 2021 | 165,000.00 |
API Access
Raphael Pharmaceutical Accumulated 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=accumulated-expenses&ticker=RAPH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "RAPH", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=RAPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();