Solid Biosciences (SLDB) Total Current Liabilities (2017 - 2026)
Solid Biosciences (SLDB) posted Total Current Liabilities of $28.58 million for Q2 2026, down 4.2% from $29.85 million a year earlier and down 5.6% from the prior quarter.
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Analysis
Solid Biosciences (SLDB) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Solid Biosciences' Total Current Liabilities came in at $33.47 million, up 10.6% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 6.5% (FY2020 to FY2025).
- In prior years, Solid Biosciences' Total Current Liabilities was $30.26 million in FY2024 (+108.4%), $14.52 million in FY2023 (-35.5%), $22.51 million in FY2022 (-4.6%) and $23.6 million in FY2021 (-3.6%).
- The Q2 2026 figure stands as the lowest quarterly Total Current Liabilities since Q3 2024.
- On a year-over-year basis, Total Current Liabilities increased in seven of the last eight quarters, with growth averaging 53.4%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was Q4 2024, with growth of 108.4%; the weakest was Q4 2023, with a decline of 35.5%.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $30.28 million (Q1 2026), $33.47 million (Q4 2025) and $36.34 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 54.90 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 41.64 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 27.73 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 31.75 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -31.55 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 25.50 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 11.02 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 32.65 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 3.94 Bn |
| 10 | Solid Biosciences | 1.05 Bn | 1.05 Bn | - | 28.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.58 Mn |
| Mar 31, 2026 | 30.28 Mn |
| Dec 31, 2025 | 33.47 Mn |
| Sep 30, 2025 | 36.34 Mn |
| Jun 30, 2025 | 29.85 Mn |
| Mar 31, 2025 | 28.78 Mn |
| Dec 31, 2024 | 30.26 Mn |
| Sep 30, 2024 | 22.85 Mn |
| Jun 30, 2024 | 14.69 Mn |
| Mar 31, 2024 | 14.34 Mn |
| Dec 31, 2023 | 14.52 Mn |
| Sep 30, 2023 | 15.82 Mn |
| Jun 30, 2023 | 15.87 Mn |
| Mar 31, 2023 | 20.29 Mn |
| Dec 31, 2022 | 22.51 Mn |
| Sep 30, 2022 | 16.93 Mn |
| Jun 30, 2022 | 21.72 Mn |
| Mar 31, 2022 | 21.74 Mn |
| Dec 31, 2021 | 23.60 Mn |
| Sep 30, 2021 | 22.54 Mn |
API Access
Solid Biosciences Total Current Liabilities 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=total-current-liabilities&ticker=SLDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=SLDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();