Solid Biosciences (SLDB) Non-Current Assets (2017 - 2026)
Solid Biosciences' Non-Current Assets was $25.47 million in Q2 2026, down 14.1% from $29.65 million a year earlier and down 2.4% from the prior quarter.
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Analysis
Solid Biosciences (SLDB) Non-Current Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Solid Biosciences came in at $27.08 million, down 13.6% from FY2024.
- Non-Current Assets has now declined for three consecutive years, though with a five-year compound annual growth rate of 17.2% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $31.36 million in FY2024 (-10.9%), $35.21 million in FY2023 (-13.3%), $40.61 million in FY2022 (+315.8%) and $9.77 million in FY2021 (-20.4%).
- The Q2 2026 figure marks the lowest quarterly Non-Current Assets since Q1 2022.
- Compared with a year earlier, Non-Current Assets has declined for 13 straight quarters, with an average decline of 12.1% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q1 2023 (growth of 335.7%); the worst was Q3 2021 (a decline of 23.8%).
- Per Business Quant data, SLDB's Non-Current Assets in the three quarters before Q2 2026 was $26.11 million (Q1 2026), $27.08 million (Q4 2025) and $29.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Solid Biosciences | 1.05 Bn | 1.05 Bn | - | 25.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.47 Mn |
| Mar 31, 2026 | 26.11 Mn |
| Dec 31, 2025 | 27.08 Mn |
| Sep 30, 2025 | 29.06 Mn |
| Jun 30, 2025 | 29.65 Mn |
| Mar 31, 2025 | 30.50 Mn |
| Dec 31, 2024 | 31.36 Mn |
| Sep 30, 2024 | 32.33 Mn |
| Jun 30, 2024 | 33.37 Mn |
| Mar 31, 2024 | 34.50 Mn |
| Dec 31, 2023 | 35.21 Mn |
| Sep 30, 2023 | 36.38 Mn |
| Jun 30, 2023 | 37.25 Mn |
| Mar 31, 2023 | 38.98 Mn |
| Dec 31, 2022 | 40.61 Mn |
| Sep 30, 2022 | 36.97 Mn |
| Jun 30, 2022 | 38.06 Mn |
| Mar 31, 2022 | 8.95 Mn |
| Dec 31, 2021 | 9.77 Mn |
| Sep 30, 2021 | 10.18 Mn |
API Access
Solid Biosciences Non-Current 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=non-current-assets&ticker=SLDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=SLDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();