Vericel (VCEL) Cash & Equivalents (2010 - 2026)
Vericel's Cash & Equivalents came in at $125.4 million for Q2 2026, up 55.7% from $80.53 million a year earlier and up 14.7% from the prior quarter.
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Analysis
Vericel (VCEL) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, Vericel's Cash & Equivalents was $100.09 million, up 34.3% from FY2024.
- Cash & Equivalents has increased in each of the last three years, with a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $74.52 million in FY2024 (+7.9%), $69.09 million in FY2023 (+35.3%), $51.07 million in FY2022 (-25.3%) and $68.33 million in FY2021 (+103.2%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents in data going back to Q4 2010.
- Year-over-year, Cash & Equivalents has increased for seven consecutive quarters, with growth averaging 37.4% over the last eight quarters.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q4 2021 (growth of 103.2%), and the weakest in Q4 2022 (a decline of 25.3%).
- Business Quant data shows VCEL's Cash & Equivalents at $109.3 million (Q1 2026), $100.09 million (Q4 2025) and $100.4 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 20.42 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 6.57 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn | 6.85 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn | 7.62 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn | 4.89 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn | 13.99 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 3.18 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | 976.00 Mn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 6.14 Bn |
| 10 | Vericel | 2.05 Bn | 1.47 Bn | 56.40 Mn | 125.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 125.40 Mn |
| Mar 31, 2026 | 109.30 Mn |
| Dec 31, 2025 | 100.09 Mn |
| Sep 30, 2025 | 100.40 Mn |
| Jun 30, 2025 | 80.53 Mn |
| Mar 31, 2025 | 73.49 Mn |
| Dec 31, 2024 | 74.52 Mn |
| Sep 30, 2024 | 53.68 Mn |
| Jun 30, 2024 | 50.29 Mn |
| Mar 31, 2024 | 62.94 Mn |
| Dec 31, 2023 | 69.09 Mn |
| Sep 30, 2023 | 60.47 Mn |
| Jun 30, 2023 | 43.02 Mn |
| Mar 31, 2023 | 61.83 Mn |
| Dec 31, 2022 | 51.07 Mn |
| Sep 30, 2022 | 65.22 Mn |
| Jun 30, 2022 | 56.05 Mn |
| Mar 31, 2022 | 55.66 Mn |
| Dec 31, 2021 | 68.33 Mn |
| Sep 30, 2021 | 54.55 Mn |
API Access
Vericel Cash & Equivalents 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=cash-and-equivalents&ticker=VCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();