Solid Biosciences (SLDB) Prepaid Assets (2017 - 2026)
Solid Biosciences (SLDB) posted Prepaid Assets of $16.79 million for Q2 2026, up 59.5% from $10.53 million a year earlier and up 8.5% from the prior quarter.
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Analysis
Solid Biosciences (SLDB) Prepaid Assets (2017 - 2026) Analysis & Trends
At the end of FY2025, Solid Biosciences' Prepaid Assets came in at $16.38 million, up 95.5% from FY2024.
- Annual Prepaid Assets has increased for three consecutive years, with a five-year compound annual growth rate of 31.6% (FY2020 to FY2025).
- In prior years, Solid Biosciences' Prepaid Assets was $8.38 million in FY2024 (+37.5%), $6.09 million in FY2023 (+3.0%), $5.92 million in FY2022 (-59.8%) and $14.72 million in FY2021 (+254.2%).
- The Q2 2026 figure stands as the highest quarterly Prepaid Assets since Q1 2022.
- On a year-over-year basis, Prepaid Assets has increased in each of the last five quarters, with growth averaging 51.4% over the last eight quarters.
- The strongest year-over-year quarter for Prepaid Assets in the past five years was Q4 2021, with growth of 254.2%; the weakest was Q1 2023, with a decline of 72.5%.
- According to Business Quant data, Prepaid Assets for the three prior quarters was $15.47 million (Q1 2026), $16.38 million (Q4 2025) and $8.71 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 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 |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 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 |
|---|---|
| Jun 30, 2026 | 16.79 Mn |
| Mar 31, 2026 | 15.47 Mn |
| Dec 31, 2025 | 16.38 Mn |
| Sep 30, 2025 | 8.71 Mn |
| Jun 30, 2025 | 10.53 Mn |
| Mar 31, 2025 | 6.49 Mn |
| Dec 31, 2024 | 8.38 Mn |
| Sep 30, 2024 | 8.38 Mn |
| Jun 30, 2024 | 7.34 Mn |
| Mar 31, 2024 | 8.13 Mn |
| Dec 31, 2023 | 6.09 Mn |
| Sep 30, 2023 | 5.46 Mn |
| Jun 30, 2023 | 7.28 Mn |
| Mar 31, 2023 | 5.10 Mn |
| Dec 31, 2022 | 5.92 Mn |
| Sep 30, 2022 | 5.12 Mn |
| Jun 30, 2022 | 7.32 Mn |
| Mar 31, 2022 | 18.54 Mn |
| Dec 31, 2021 | 14.72 Mn |
| Sep 30, 2021 | 8.37 Mn |
API Access
Solid Biosciences Prepaid 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=prepaid-assets&ticker=SLDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "prepaid-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=prepaid-assets&ticker=SLDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();