Celldex Therapeutics (CLDX) Asset Writedowns and Impairment (2017 - 2021)
Celldex Therapeutics (CLDX) recorded Asset Writedowns and Impairment of $3.5 million in FY2021, down 80.6% from $18 million in FY2020.
Analysis
Celldex Therapeutics (CLDX) Asset Writedowns and Impairment (2017 - 2021) Analysis & Trends
Starting with FY2017, Celldex Therapeutics' Asset Writedowns and Impairment history includes 5 years.
- Annual Asset Writedowns and Impairment has a four-year compound annual growth rate of -28.0% (FY2017 to FY2021).
- Annual Asset Writedowns and Impairment has ranged from $1.8 million in FY2019 to $90.98 million in FY2018 over the past five years.
- Per Business Quant data, CLDX's Asset Writedowns and Impairment was $18 million in FY2020 (+900.0%), $1.8 million in FY2019 (-98.0%), $90.98 million in FY2018 (+599.8%) and $13 million in FY2017.
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 | Celldex Therapeutics | 2.48 Bn | 2.48 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 3.50 Mn |
| Dec 31, 2020 | 14.50 Mn |
| Jun 30, 2020 | 3.50 Mn |
| Mar 31, 2019 | 1.80 Mn |
| Mar 31, 2018 | 90.98 Mn |
| Sep 30, 2017 | 13.00 Mn |
API Access
Celldex Therapeutics 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=CLDX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "CLDX", "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=CLDX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();