Vericel (VCEL) Asset Writedowns and Impairment (2014 - 2026)
Vericel's Asset Writedowns and Impairment was $152,000 in Q2 2026, down 12.1% from the prior quarter.
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Analysis
Vericel (VCEL) Asset Writedowns and Impairment (2014 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vericel's Asset Writedowns and Impairment was $325,000 through Jun 30, 2026, up 38.9% year-over-year; for FY2025, it came in at $1.04 million.
- The Q2 2026 figure marks the lowest quarterly Asset Writedowns and Impairment since Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,076.25 Bn | 1,044.84 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 617.18 Bn | 535.70 Bn | 17.26 Bn |
| 3 | AbbVie | 464.58 Bn | 437.73 Bn | 12.70 Bn |
| 4 | Merck | 356.04 Bn | 310.47 Bn | 12.21 Bn |
| 5 | Novartis Ag | 269.07 Bn | 224.94 Bn | 11.24 Bn |
| 6 | Astrazeneca | 243.21 Bn | 216.77 Bn | 12.86 Bn |
| 7 | Amgen | 217.88 Bn | 173.28 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 179.62 Bn | 153.74 Bn | 6.22 Bn |
| 9 | Pfizer | 158.45 Bn | 105.40 Bn | 10.94 Bn |
| 10 | Vericel | 2.05 Bn | 1.47 Bn | 56.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152,000.00 |
| Mar 31, 2026 | 173,000.00 |
| Dec 31, 2018 | -303,000.00 |
| Sep 30, 2018 | 537,000.00 |
| Jun 30, 2018 | -140,000.00 |
| Mar 31, 2018 | -94,000.00 |
| Dec 31, 2017 | -232,000.00 |
| Sep 30, 2017 | 72,000.00 |
| Jun 30, 2017 | 67,000.00 |
| Mar 31, 2017 | 93,000.00 |
| Dec 31, 2016 | 2.54 Mn |
| Sep 30, 2016 | 12,000.00 |
| Jun 30, 2016 | 69,000.00 |
| Mar 31, 2016 | 17,000.00 |
| Dec 31, 2015 | 6,000.00 |
| Dec 31, 2014 | -55,000.00 |
API Access
Vericel Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=VCEL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=VCEL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();