Vericel (VCEL) Capital Expenditures (2011 - 2026)
Vericel's Capital Expenditures was $1.93 million in Q2 2026, down 76.2% from $8.13 million a year earlier but up 53.7% from the prior quarter.
Vericel (VCEL) Capital Expenditures (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vericel's Capital Expenditures was $8.01 million through Jun 30, 2026, down 85.6% year-over-year; for FY2025, it was $27.16 million, down 57.5% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 59.6% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $63.97 million in FY2024 (+219.7%), $20.01 million in FY2023 (+163.5%), $7.6 million in FY2022 (-4.0%) and $7.92 million in FY2021 (+201.4%).
- Quarterly Capital Expenditures has moved between $991,000 (Q4 2021) and $19.41 million (Q3 2024) over five years.
- Compared with a year earlier, Capital Expenditures has declined for five straight quarters, with an average decline of 14.6% over the last eight quarters.
- The best year-over-year quarter for Capital Expenditures over five years was Q1 2024 (growth of 892.0%); the worst was Q1 2026 (a decline of 91.2%).
- Per Business Quant data, VCEL's Capital Expenditures in the three quarters before Q2 2026 was $1.26 million (Q1 2026), $2.19 million (Q4 2025) and $2.63 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 1.32 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 322.00 Mn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 893.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | -321.00 Mn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | -763.00 Mn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 513.00 Mn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 140.00 Mn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 533.00 Mn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 112.20 Mn |
| 10 | Vericel | 2.06 Bn | 1.48 Bn | 56.40 Mn | 1.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.93 Mn |
| Mar 31, 2026 | 1.26 Mn |
| Dec 31, 2025 | 2.19 Mn |
| Sep 30, 2025 | 2.63 Mn |
| Jun 30, 2025 | 8.13 Mn |
| Mar 31, 2025 | 14.21 Mn |
| Dec 31, 2024 | 13.79 Mn |
| Sep 30, 2024 | 19.41 Mn |
| Jun 30, 2024 | 16.76 Mn |
| Mar 31, 2024 | 14.02 Mn |
| Dec 31, 2023 | 7.84 Mn |
| Sep 30, 2023 | 6.57 Mn |
| Jun 30, 2023 | 4.20 Mn |
| Mar 31, 2023 | 1.41 Mn |
| Dec 31, 2022 | 1.13 Mn |
| Sep 30, 2022 | 1.41 Mn |
| Jun 30, 2022 | 1.98 Mn |
| Mar 31, 2022 | 3.08 Mn |
| Dec 31, 2021 | 991,000.00 |
| Sep 30, 2021 | 2.46 Mn |
Vericel 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=VCEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "VCEL", "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=VCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();