Vericel (VCEL) Total Liabilities (2009 - 2026)
Vericel (VCEL) reported Total Liabilities of $132.83 million for Q2 2026, up 3.1% from $128.8 million a year earlier and up 2.7% from the prior quarter.
Vericel (VCEL) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Vericel posted Total Liabilities of $133.33 million, down 5.3% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 13.3% (FY2020 to FY2025).
- By year, Total Liabilities came in at $140.76 million in FY2024 (+10.2%), $127.71 million in FY2023 (+58.2%), $80.73 million in FY2022 (+10.2%) and $73.24 million in FY2021 (+2.7%).
- Five-year quarterly Total Liabilities spans a low of $67.36 million in Q3 2021 and a high of $140.76 million in Q4 2024.
- Year over year, Total Liabilities gained in five of the last eight quarters, with growth averaging 3.2%.
- The high point for year-over-year Total Liabilities in five years was Q1 2024 (growth of 72.6%); the low point was Q4 2025 (a decline of 5.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $129.4 million (Q1 2026), $133.33 million (Q4 2025) and $131.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 107.80 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 115.90 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 152.26 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 87.83 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 68.11 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 81.70 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 38.37 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 115.70 Bn |
| 10 | Vericel | 3.01 Bn | 2.40 Bn | 62.61 Mn | 132.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 132.94 Mn |
| Jun 30, 2026 | 132.83 Mn |
| Mar 31, 2026 | 129.40 Mn |
| Dec 31, 2025 | 133.33 Mn |
| Sep 30, 2025 | 131.42 Mn |
| Jun 30, 2025 | 128.80 Mn |
| Mar 31, 2025 | 129.10 Mn |
| Dec 31, 2024 | 140.76 Mn |
| Sep 30, 2024 | 132.93 Mn |
| Jun 30, 2024 | 133.86 Mn |
| Mar 31, 2024 | 122.77 Mn |
| Dec 31, 2023 | 127.71 Mn |
| Sep 30, 2023 | 113.75 Mn |
| Jun 30, 2023 | 111.78 Mn |
| Mar 31, 2023 | 71.12 Mn |
| Dec 31, 2022 | 80.73 Mn |
| Sep 30, 2022 | 70.18 Mn |
| Jun 30, 2022 | 70.00 Mn |
| Mar 31, 2022 | 67.80 Mn |
| Dec 31, 2021 | 73.24 Mn |
Vericel Total 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-liabilities&ticker=VCEL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();