Vericel (VCEL) Change in Accrued Expenses (2009 - 2026)
Vericel (VCEL) posted Change in Accured Expenses of $3.68 million for Q2 2026, up 21.8% from $3.02 million a year earlier.
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Analysis
Vericel (VCEL) Change in Accrued Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Accured Expenses at Vericel was $3.28 million, up 112.2% year-over-year; for FY2025, it came in at $2.17 million.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- In prior years, Vericel's Change in Accured Expenses was -$149,000 in FY2024, $1.03 million in FY2023 (-52.2%), $2.15 million in FY2022 (-22.1%) and $2.75 million in FY2021 (-17.7%).
- The Q2 2026 figure stands as the highest quarterly Change in Accured Expenses in data going back to Q4 2011.
- On a year-over-year basis, Change in Accured Expenses increased in four of the last five quarters, with growth averaging 20.1%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2024, with growth of 109.9%; the weakest was Q2 2023, with a decline of 52.8%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$5.27 million (Q1 2026), $2.96 million (Q4 2025) and $1.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | 2.41 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 983.00 Mn |
| 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 | -87.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 756.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | - |
| 10 | Vericel | 3.01 Bn | 2.40 Bn | 62.61 Mn | 2.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.44 Mn |
| Jun 30, 2026 | 3.68 Mn |
| Mar 31, 2026 | -5.27 Mn |
| Dec 31, 2025 | 2.96 Mn |
| Sep 30, 2025 | 1.91 Mn |
| Jun 30, 2025 | 3.02 Mn |
| Mar 31, 2025 | -5.72 Mn |
| Dec 31, 2024 | 2.74 Mn |
| Sep 30, 2024 | 1.51 Mn |
| Jun 30, 2024 | 1.81 Mn |
| Mar 31, 2024 | -6.20 Mn |
| Dec 31, 2023 | 3.59 Mn |
| Sep 30, 2023 | -343,000.00 |
| Jun 30, 2023 | 860,000.00 |
| Mar 31, 2023 | -3.08 Mn |
| Dec 31, 2022 | 2.24 Mn |
| Sep 30, 2022 | 1.82 Mn |
| Jun 30, 2022 | 1.82 Mn |
| Mar 31, 2022 | -3.73 Mn |
| Dec 31, 2021 | 3.11 Mn |
API Access
Vericel Change in Accrued 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=change-in-accured-expenses&ticker=VCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=VCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();