Silexion Therapeutics (SLXN) EPS (Diluted) (2023 - 2026)
Silexion Therapeutics' EPS (Diluted) came in at -$5.17 for Q2 2026, compared with -$43.19 a year earlier.
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Analysis
Silexion Therapeutics (SLXN) EPS (Diluted) (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Silexion Therapeutics reported EPS (Diluted) of -$20.31; for FY2025, it was -$89.60.
- Going back by year, EPS (Diluted) was -$3,972 in FY2024 and -$6,856 in FY2023.
- The Q2 2026 figure represents the highest quarterly EPS (Diluted) since Q2 2024.
- Business Quant data shows SLXN's EPS (Diluted) at -$8.46 (Q1 2026), -$33.18 (Q4 2025) and -$28.80 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,175.59 Bn | 1,144.18 Bn | 19.71 Bn | 7.94 |
| 2 | Johnson & Johnson | 639.41 Bn | 557.93 Bn | 17.26 Bn | 2.27 |
| 3 | AbbVie | 502.56 Bn | 475.67 Bn | 12.70 Bn | 2.04 |
| 4 | Merck | 375.27 Bn | 329.65 Bn | 12.21 Bn | -0.54 |
| 5 | Novartis Ag | 303.16 Bn | 267.15 Bn | 11.24 Bn | 1.67 |
| 6 | Astrazeneca | 268.63 Bn | 242.32 Bn | 12.86 Bn | 1.60 |
| 7 | Amgen | 242.12 Bn | 197.52 Bn | 7.24 Bn | 4.37 |
| 8 | Gilead Sciences | 193.40 Bn | 167.60 Bn | 6.22 Bn | -8.44 |
| 9 | Pfizer | 172.79 Bn | 119.44 Bn | 10.94 Bn | -0.04 |
| 10 | Silexion Therapeutics | 117,881.04 | -19.76 Mn | - | -5.17 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -5.17 |
| Mar 31, 2026 | -8.46 |
| Dec 31, 2025 | -33.18 |
| Sep 30, 2025 | -28.80 |
| Jun 30, 2025 | -43.19 |
| Mar 31, 2025 | -38.39 |
| Dec 31, 2024 | -420.05 |
| Sep 30, 2024 | -6,103.96 |
| Jun 30, 2024 | 7,913.98 |
| Mar 31, 2024 | -1,910.07 |
| Dec 31, 2023 | -2,255.03 |
| Sep 30, 2023 | -1,085.91 |
| Jun 30, 2023 | 8,839.57 |
API Access
Silexion Therapeutics 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=SLXN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "ticker": "SLXN", "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=SLXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();