Silexion Therapeutics (SLXN) Total Debt (2024 - 2025)
Silexion Therapeutics' Total Debt came in at $1.57 million for Q4 2025, down 47.0% from $2.96 million a year earlier but up 1.8% from the prior quarter.
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Analysis
Silexion Therapeutics (SLXN) Total Debt (2024 - 2025) Analysis & Trends
Going back to Q3 2024, Silexion Therapeutics' Total Debt data covers 6 quarters.
- Going back by year, Total Debt was $2.96 million in FY2024.
- The five-year range for quarterly Total Debt is $1.54 million (Q3 2025) to $3.19 million (Q2 2025).
- Business Quant data shows SLXN's Total Debt at $1.54 million (Q3 2025), $3.19 million (Q2 2025) and $2.99 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 54.91 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 49.04 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 70.82 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 53.91 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 9.59 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 32.35 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 57.30 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 26.25 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 63.19 Bn |
| 10 | Silexion Therapeutics | 112,725.90 | -19.76 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.57 Mn |
| Sep 30, 2025 | 1.54 Mn |
| Jun 30, 2025 | 3.19 Mn |
| Mar 31, 2025 | 2.99 Mn |
| Dec 31, 2024 | 2.96 Mn |
| Sep 30, 2024 | 3.11 Mn |
API Access
Silexion Therapeutics Total Debt 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=total-debt&ticker=SLXN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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=total-debt&ticker=SLXN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();