Silexion Therapeutics (SLXN) Exchange Rate Effect (2023 - 2026)
Silexion Therapeutics' Exchange Rate Effect was $8,000 in Q2 2026, down 42.9% from $14,000 a year earlier.
Silexion Therapeutics (SLXN) Exchange Rate Effect (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Silexion Therapeutics' Exchange Rate Effect was -$12,000 through Jun 30, 2026; for FY2025, it came in at -$2,000.
- In earlier years, Exchange Rate Effect was -$61,000 in FY2024 and -$230,000 in FY2023.
- Quarterly Exchange Rate Effect has moved between -$277,000 (Q2 2023) and $94,000 (Q4 2023) over five years.
- Per Business Quant data, SLXN's Exchange Rate Effect in the three quarters before Q2 2026 was -$14,000 (Q1 2026), -$5,000 (Q4 2025) and -$1,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 5.00 Mn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | -7.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | -37.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -18.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | 9.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | -19.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | -4.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | -3.70 Mn |
| 10 | Silexion Therapeutics | 219,952.96 | -19.66 Mn | - | 8,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8,000.00 |
| Mar 31, 2026 | -14,000.00 |
| Dec 31, 2025 | -5,000.00 |
| Sep 30, 2025 | -1,000.00 |
| Jun 30, 2025 | 14,000.00 |
| Mar 31, 2025 | -10,000.00 |
| Dec 31, 2024 | -11,000.00 |
| Sep 30, 2024 | 25,000.00 |
| Jun 30, 2024 | -19,000.00 |
| Mar 31, 2024 | -56,000.00 |
| Dec 31, 2023 | 94,000.00 |
| Sep 30, 2023 | -66,000.00 |
| Jun 30, 2023 | -277,000.00 |
Silexion Therapeutics Exchange Rate Effect 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=exchange-rate-effect&ticker=SLXN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SLXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();