Solid Biosciences (SLDB) Long-Term Debt Repayments (2024 - 2025)
Solid Biosciences' Long-Term Debt Repayments came in at $203,000 for Q4 2025, up 58.6% from $128,000 a year earlier but down 16.5% from the prior quarter.
Solid Biosciences (SLDB) Long-Term Debt Repayments (2024 - 2025) Analysis & Trends
For FY2025, Solid Biosciences' Long-Term Debt Repayments was $723,000, up 52.9% from FY2024.
- Going back by year, Long-Term Debt Repayments was $473,000 in FY2024.
- The five-year range for quarterly Long-Term Debt Repayments is $120,000 (Q3 2024) to $243,000 (Q3 2025).
- Business Quant data shows SLDB's Long-Term Debt Repayments at $243,000 (Q3 2025), $142,000 (Q2 2025) and $135,000 (Q1 2025) in the three quarters before Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 1.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 2.00 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 5.00 Mn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | - |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -2.45 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | - |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 17.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | - |
| 10 | Solid Biosciences | 1.04 Bn | 1.04 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 203,000.00 |
| Sep 30, 2025 | 243,000.00 |
| Jun 30, 2025 | 142,000.00 |
| Mar 31, 2025 | 135,000.00 |
| Dec 31, 2024 | 128,000.00 |
| Sep 30, 2024 | 120,000.00 |
| Jun 30, 2024 | 225,000.00 |
Solid Biosciences Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=SLDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SLDB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=SLDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();