Raphael Pharmaceutical (RAPH) Debt Ratio (2020 - 2026)
Raphael Pharmaceutical's Debt Ratio came in at 187.14 for Q2 2026, up 895.4% from 18.80 a year earlier.
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Analysis
Raphael Pharmaceutical (RAPH) Debt Ratio (2020 - 2026) Analysis & Trends
For FY2025, Raphael Pharmaceutical's Debt Ratio was 17.85, up 111.4% from FY2024.
- Going back by year, Debt Ratio was 8.44 in FY2024, 0.32 in FY2023 and 0.02 in FY2022.
- The Q2 2026 figure represents the highest quarterly Debt Ratio in data going back to Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 0.24 |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 0.52 |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 0.42 |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 0.31 |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 0.00 |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 0.60 |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 0.53 |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 0.31 |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | - |
| 10 | Raphael Pharmaceutical | 28.25 Mn | 28.18 Mn | - | 187.14 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 187.14 |
| Dec 31, 2025 | 17.85 |
| Sep 30, 2025 | 107.86 |
| Jun 30, 2025 | 18.80 |
| Mar 31, 2025 | 4.38 |
| Dec 31, 2024 | 8.44 |
| Sep 30, 2024 | 2.55 |
| Jun 30, 2024 | 0.20 |
| Mar 31, 2024 | 0.10 |
| Dec 31, 2023 | 0.32 |
| Sep 30, 2023 | 0.10 |
| Jun 30, 2023 | 0.33 |
| Dec 31, 2022 | 0.02 |
| Dec 31, 2020 | 1.11 |
API Access
Raphael Pharmaceutical Debt Ratio 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=debt-ratio&ticker=RAPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=RAPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();