Vericel (VCEL) Tax Provisions (2020 - 2024)
Vericel's Tax Provisions came in at $859,000 for FY2025, up 480.4% from $148,000 in FY2024.
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Analysis
Vericel (VCEL) Tax Provisions (2020 - 2024) Analysis & Trends
Going back to FY2020, Vericel's Tax Provisions data covers 6 years.
- Tax Provisions carries a five-year compound annual growth rate of 36.7% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Tax Provisions in data going back to FY2020.
- Per Business Quant, earlier years put Tax Provisions at $148,000 in FY2024 (-81.8%), $814,000 in FY2023 (+12.9%), $721,000 in FY2022 and -$111,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 1.96 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | -176.00 Mn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 609.00 Mn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 492.00 Mn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | -842.00 Mn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 822.00 Mn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 634.00 Mn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 134.00 Mn |
| 10 | Vericel | 3.01 Bn | 2.40 Bn | 62.61 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 148,000.00 |
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | -286,000.00 |
| Dec 31, 2022 | 700,000.00 |
| Sep 30, 2022 | 21,000.00 |
| Dec 31, 2021 | -326,000.00 |
| Jun 30, 2021 | 72,000.00 |
| Mar 31, 2021 | 143,000.00 |
| Dec 31, 2020 | 180,000.00 |
API Access
Vericel Tax Provisions 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=tax-provisions&ticker=VCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=VCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();