Silexion Therapeutics (SLXN) Prepaid Assets (2023 - 2026)
Silexion Therapeutics' Prepaid Assets came in at $1.37 million for Q2 2026, down 18.5% from $1.68 million a year earlier and down 10.3% from the prior quarter.
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Analysis
Silexion Therapeutics (SLXN) Prepaid Assets (2023 - 2026) Analysis & Trends
At the end of FY2025, Silexion Therapeutics' Prepaid Assets was $570,000, down 41.0% from FY2024.
- Going back by year, Prepaid Assets was $966,000 in FY2024 (+188.4%) and $335,000 in FY2023.
- The five-year range for quarterly Prepaid Assets is $335,000 (Q4 2023) to $1.74 million (Q3 2025).
- Year-over-year, Prepaid Assets increased in four of the last six quarters, with growth averaging 72.7%.
- Business Quant data shows SLXN's Prepaid Assets at $1.53 million (Q1 2026), $570,000 (Q4 2025) and $1.74 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Silexion Therapeutics | 192,458.84 | -19.68 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.37 Mn |
| Mar 31, 2026 | 1.53 Mn |
| Dec 31, 2025 | 570,000.00 |
| Sep 30, 2025 | 1.74 Mn |
| Jun 30, 2025 | 1.68 Mn |
| Mar 31, 2025 | 1.48 Mn |
| Dec 31, 2024 | 966,000.00 |
| Sep 30, 2024 | 944,000.00 |
| Jun 30, 2024 | 527,000.00 |
| Dec 31, 2023 | 335,000.00 |
API Access
Silexion Therapeutics Prepaid Assets 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=prepaid-assets&ticker=SLXN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-assets", "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=prepaid-assets&ticker=SLXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();