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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,264.65 Bn | 1,238.27 Bn | 20.46 Bn | 47.00 Bn |
| 2 | Johnson & Johnson | 677.74 Bn | 597.60 Bn | 17.30 Bn | 55.46 Bn |
| 3 | AbbVie | 517.10 Bn | 485.11 Bn | 13.12 Bn | 43.10 Bn |
| 4 | Merck | 362.23 Bn | 325.17 Bn | 13.19 Bn | 28.80 Bn |
| 5 | Novartis Ag | 315.90 Bn | 276.16 Bn | 11.24 Bn | 31.75 Bn |
| 6 | Astrazeneca | 289.40 Bn | 266.24 Bn | 12.86 Bn | 31.55 Bn |
| 7 | Amgen | 249.90 Bn | 201.56 Bn | 7.58 Bn | 23.23 Bn |
| 8 | Gilead Sciences | 209.15 Bn | 184.26 Bn | 6.73 Bn | 12.00 Bn |
| 9 | Pfizer | 165.88 Bn | 113.23 Bn | 12.56 Bn | 31.73 Bn |
| 10 | Solid Biosciences | 1.08 Bn | -216.77 Mn | - | 30.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 30.45 Mn |
| 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 |
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_KEY
import 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();