Solid Biosciences (SLDB) Other Accumulated Expenses (2017 - 2026)
Solid Biosciences (SLDB) posted Other Accumulated Expenses of $92,000 for Q1 2024, up 67.3% from $55,000 a year earlier and up 283.3% from the prior quarter.
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Analysis
Solid Biosciences (SLDB) Other Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2023, Solid Biosciences' Other Accumulated Expenses came in at $24,000, up 71.4% from FY2022.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of -42.5% (FY2018 to FY2023).
- In prior years, Solid Biosciences' Other Accumulated Expenses was $14,000 in FY2022 (-60.0%), $35,000 in FY2021 and $52,000 in FY2019 (-86.4%).
- Quarterly Other Accumulated Expenses has run from a low of $14,000 in Q4 2022 to a high of $278,000 in Q2 2019 over five years.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last four quarters, with growth averaging 58.6% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q2 2023, with growth of 408.7%; the weakest was Q4 2019, with a decline of 86.4%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $24,000 (Q4 2023), $162,000 (Q3 2023) and $117,000 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Solid Biosciences | 1.08 Bn | -212.24 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.28 Mn |
| Jun 30, 2026 | 2.23 Mn |
| Mar 31, 2026 | 2.19 Mn |
| Dec 31, 2025 | 2.10 Mn |
| Dec 31, 2024 | 1.79 Mn |
| Mar 31, 2024 | 92,000.00 |
| Dec 31, 2023 | 24,000.00 |
| Sep 30, 2023 | 162,000.00 |
| Jun 30, 2023 | 117,000.00 |
| Mar 31, 2023 | 55,000.00 |
| Dec 31, 2022 | 14,000.00 |
| Sep 30, 2022 | 85,000.00 |
| Jun 30, 2022 | 23,000.00 |
| Mar 31, 2022 | 150,000.00 |
| Dec 31, 2021 | 35,000.00 |
| Sep 30, 2021 | 73,000.00 |
| Jun 30, 2021 | 61,000.00 |
| Dec 31, 2019 | 52,000.00 |
| Sep 30, 2019 | 221,000.00 |
| Jun 30, 2019 | 278,000.00 |
API Access
Solid Biosciences Other Accumulated Expenses 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=other-accumulated-expenses&ticker=SLDB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=SLDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();