Solid Biosciences (SLDB) Capital Expenditures (2017 - 2026)
Solid Biosciences (SLDB) recorded Capital Expenditures of $150,000 in Q2 2026, down 60.2% from $377,000 a year earlier and down 9.1% from the prior quarter.
Solid Biosciences (SLDB) Capital Expenditures (2017 - 2026) Analysis & Trends
On a TTM basis, Solid Biosciences' Capital Expenditures came in at $965,000 as of Jun 30, 2026, up 33.7% year-over-year; for FY2025, it was $1.15 million, up 76.3% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of 5.1% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $654,000 in FY2024 (-56.8%), $1.52 million in FY2023 (-49.8%), $3.02 million in FY2022 (+135.4%) and $1.28 million in FY2021 (+42.5%).
- Quarterly Capital Expenditures has ranged from $15,000 in Q3 2024 to $1.14 million in Q2 2022 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in five of the last eight quarters, with growth averaging 82.7%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 466.7% in Q3 2025, against a decline of 96.1% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $165,000 (Q1 2026), $565,000 (Q4 2025) and $85,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Solid Biosciences | 1.03 Bn | 1.03 Bn | - | 150,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 150,000.00 |
| Mar 31, 2026 | 165,000.00 |
| Dec 31, 2025 | 565,000.00 |
| Sep 30, 2025 | 85,000.00 |
| Jun 30, 2025 | 377,000.00 |
| Mar 31, 2025 | 126,000.00 |
| Dec 31, 2024 | 204,000.00 |
| Sep 30, 2024 | 15,000.00 |
| Jun 30, 2024 | 286,000.00 |
| Mar 31, 2024 | 149,000.00 |
| Dec 31, 2023 | 90,000.00 |
| Sep 30, 2023 | 383,000.00 |
| Jun 30, 2023 | 536,000.00 |
| Mar 31, 2023 | 506,000.00 |
| Dec 31, 2022 | 856,000.00 |
| Sep 30, 2022 | 839,000.00 |
| Jun 30, 2022 | 1.14 Mn |
| Mar 31, 2022 | 184,000.00 |
| Dec 31, 2021 | 660,000.00 |
| Sep 30, 2021 | 237,000.00 |
Solid Biosciences Capital Expenditures 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=capital-expenditures&ticker=SLDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=SLDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();