Solid Biosciences (SLDB) Assets (2017 - 2026)
Solid Biosciences (SLDB) posted Assets of $420.58 million for Q2 2026, up 36.4% from $308.29 million a year earlier but down 0.5% from the prior quarter.
Powered by 
Analysis
Solid Biosciences (SLDB) Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Solid Biosciences' Assets came in at $232.54 million, up 23.3% from FY2024.
- Annual Assets shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In prior years, Solid Biosciences' Assets was $188.66 million in FY2024 (+14.4%), $164.94 million in FY2023 (-36.6%), $260.25 million in FY2022 (+12.0%) and $232.38 million in FY2021 (+35.8%).
- Quarterly Assets has run from a low of $164.94 million in Q4 2023 to a high of $422.89 million in Q1 2026 over five years.
- On a year-over-year basis, Assets has increased in each of the last ten quarters, with growth averaging 26.6% over the last eight quarters.
- The strongest year-over-year quarter for Assets in the past five years was Q3 2021, with growth of 514.5%; the weakest was Q4 2023, with a decline of 36.6%.
- According to Business Quant data, Assets for the three prior quarters was $422.89 million (Q1 2026), $232.54 million (Q4 2025) and $273.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 201.06 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 135.12 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 129.80 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 122.03 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 115.83 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 95.64 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 49.36 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 201.13 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 27.42 Bn |
| 10 | Solid Biosciences | 1.05 Bn | 1.05 Bn | - | 420.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 420.58 Mn |
| Mar 31, 2026 | 422.89 Mn |
| Dec 31, 2025 | 232.54 Mn |
| Sep 30, 2025 | 273.91 Mn |
| Jun 30, 2025 | 308.29 Mn |
| Mar 31, 2025 | 343.90 Mn |
| Dec 31, 2024 | 188.66 Mn |
| Sep 30, 2024 | 211.83 Mn |
| Jun 30, 2024 | 230.98 Mn |
| Mar 31, 2024 | 248.69 Mn |
| Dec 31, 2023 | 164.94 Mn |
| Sep 30, 2023 | 184.73 Mn |
| Jun 30, 2023 | 204.72 Mn |
| Mar 31, 2023 | 229.59 Mn |
| Dec 31, 2022 | 260.25 Mn |
| Sep 30, 2022 | 184.47 Mn |
| Jun 30, 2022 | 208.50 Mn |
| Mar 31, 2022 | 207.56 Mn |
| Dec 31, 2021 | 232.38 Mn |
| Sep 30, 2021 | 248.99 Mn |
API Access
Solid Biosciences 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=assets&ticker=SLDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SLDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();