Solid Biosciences (SLDB) Interest Expenses (2023 - 2025)
Solid Biosciences (SLDB) reported Interest Expenses of $5,000 for Q4 2025, down 93.3% from $75,000 a year earlier.
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Analysis
Solid Biosciences (SLDB) Interest Expenses (2023 - 2025) Analysis & Trends
For FY2025, Solid Biosciences posted Interest Expenses of -$203,000.
- By year, Interest Expenses came in at $340,000 in FY2024 (-22.7%) and $440,000 in FY2023.
- Five-year quarterly Interest Expenses spans a low of -$336,000 in Q3 2025 and a high of $121,000 in Q1 2023.
- Per Business Quant data, the three quarters before Q4 2025 came in at -$336,000 (Q3 2025), $60,000 (Q2 2025) and $68,000 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 281.00 Mn |
| 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 | -462.00 Mn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | -435.00 Mn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 673.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 247.00 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
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5,000.00 |
| Sep 30, 2025 | -336,000.00 |
| Jun 30, 2025 | 60,000.00 |
| Mar 31, 2025 | 68,000.00 |
| Dec 31, 2024 | 75,000.00 |
| Sep 30, 2024 | 82,000.00 |
| Jun 30, 2024 | 88,000.00 |
| Mar 31, 2024 | 95,000.00 |
| Dec 31, 2023 | 101,000.00 |
| Sep 30, 2023 | 106,000.00 |
| Jun 30, 2023 | 111,000.00 |
| Mar 31, 2023 | 121,000.00 |
API Access
Solid Biosciences Interest Expenses 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=interest-expenses&ticker=SLDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SLDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();