Silexion Therapeutics (SLXN) EBIT (2023 - 2026)
Silexion Therapeutics (SLXN) recorded EBIT of -$3.68 million in Q2 2026, compared with -$2.28 million a year earlier.
Silexion Therapeutics (SLXN) EBIT (2023 - 2026) Analysis & Trends
On a TTM basis, Silexion Therapeutics' EBIT came in at -$14.13 million as of Jun 30, 2026; for FY2025, it came in at -$11.63 million.
- Across earlier years, EBIT came in at -$12.57 million in FY2024 and -$4.68 million in FY2023.
- Quarterly EBIT has ranged from -$8.04 million in Q3 2024 to -$731,000 in Q3 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$2.75 million (Q1 2026), -$4.41 million (Q4 2025) and -$3.29 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 7.14 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 6.43 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | -584.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 4.75 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 3.16 Bn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 3.51 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | -10.39 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 4.27 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 1.25 Bn |
| 10 | Silexion Therapeutics | 219,952.96 | -19.66 Mn | - | -3.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.68 Mn |
| Mar 31, 2026 | -2.75 Mn |
| Dec 31, 2025 | -4.41 Mn |
| Sep 30, 2025 | -3.29 Mn |
| Jun 30, 2025 | -2.28 Mn |
| Mar 31, 2025 | -1.65 Mn |
| Dec 31, 2024 | -1.90 Mn |
| Sep 30, 2024 | -8.04 Mn |
| Jun 30, 2024 | -1.39 Mn |
| Mar 31, 2024 | -1.25 Mn |
| Dec 31, 2023 | -1.73 Mn |
| Sep 30, 2023 | -731,000.00 |
| Jun 30, 2023 | -1.41 Mn |
Silexion Therapeutics EBIT 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=ebit&ticker=SLXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=SLXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();