Solid Biosciences (SLDB) Times Interest Earned (2023 - 2025)
Solid Biosciences' Times Interest Earned was -9880.60 in Q4 2025, compared with -531.95 a year earlier.
Analysis
Solid Biosciences (SLDB) Times Interest Earned (2023 - 2025) Analysis & Trends
For FY2025, Times Interest Earned at Solid Biosciences came in at -882.79.
- In earlier years, Times Interest Earned was -381.55 in FY2024 and -236.94 in FY2023.
- The Q4 2025 figure marks the lowest quarterly Times Interest Earned in data going back to Q1 2023.
- Per Business Quant data, SLDB's Times Interest Earned in the three quarters before Q4 2025 was -143.03 (Q3 2025), -694.88 (Q2 2025) and -589.00 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Times Interest Earned (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 25.41 |
| 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 | 10.28 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 7.27 |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 5.22 |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | -42.08 |
| 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 | -9,880.60 |
| Sep 30, 2025 | -143.03 |
| Jun 30, 2025 | -694.88 |
| Mar 31, 2025 | -589.00 |
| Dec 31, 2024 | -531.95 |
| Sep 30, 2024 | -429.05 |
| Jun 30, 2024 | -315.77 |
| Mar 31, 2024 | -282.76 |
| Dec 31, 2023 | -220.45 |
| Sep 30, 2023 | -218.06 |
| Jun 30, 2023 | -241.83 |
| Mar 31, 2023 | -264.71 |
API Access
Solid Biosciences Times Interest Earned 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=times-interest-earned&ticker=SLDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "times-interest-earned", "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=times-interest-earned&ticker=SLDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();