Raphael Pharmaceutical (RAPH) EPS (Diluted) (2021 - 2026)
Raphael Pharmaceutical (RAPH) posted EPS (Diluted) of -$0.01 for Q2 2026, compared with -$0.02 a year earlier.
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Analysis
Raphael Pharmaceutical (RAPH) EPS (Diluted) (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EPS (Diluted) at Raphael Pharmaceutical was -$0.07; for FY2025, it came in at -$0.07.
- In prior years, Raphael Pharmaceutical's EPS (Diluted) was -$0.08 in FY2024, -$0.08 in FY2023, -$0.23 in FY2022 and -$0.15 in FY2021.
- The Q2 2026 figure stands as the highest quarterly EPS (Diluted) since Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,134.06 Bn | 1,102.65 Bn | 19.71 Bn | 7.94 |
| 2 | Johnson & Johnson | 616.49 Bn | 535.01 Bn | 17.26 Bn | 2.27 |
| 3 | AbbVie | 501.55 Bn | 474.66 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 367.24 Bn | 321.62 Bn | 12.21 Bn | -0.54 |
| 5 | Novartis Ag | 297.99 Bn | 261.98 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 261.48 Bn | 235.17 Bn | 12.86 Bn | 1.60 |
| 7 | Amgen | 236.17 Bn | 191.57 Bn | 7.24 Bn | 4.37 |
| 8 | Gilead Sciences | 190.68 Bn | 164.87 Bn | 6.22 Bn | -8.44 |
| 9 | Pfizer | 169.35 Bn | 115.99 Bn | 10.94 Bn | -0.04 |
| 10 | Raphael Pharmaceutical | 30.47 Mn | 30.40 Mn | - | -0.01 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.01 |
| Jun 30, 2025 | -0.02 |
| Mar 31, 2025 | -0.02 |
| Dec 31, 2024 | -0.02 |
| Sep 30, 2024 | -0.02 |
| Jun 30, 2024 | -0.01 |
| Mar 31, 2024 | -0.03 |
| Dec 31, 2023 | 0.01 |
| Sep 30, 2023 | -0.04 |
| Jun 30, 2023 | -0.03 |
| Mar 31, 2023 | -0.02 |
| Dec 31, 2022 | -0.08 |
| Sep 30, 2022 | -0.10 |
| Jun 30, 2022 | -0.05 |
| Mar 31, 2022 | -0.01 |
| Dec 31, 2021 | -0.05 |
| Sep 30, 2021 | -0.03 |
| Jun 30, 2021 | -0.04 |
API Access
Raphael Pharmaceutical EPS (Diluted) 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=eps-diluted&ticker=RAPH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=RAPH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();