Zentalis Pharmaceuticals (ZNTL) Asset Writedowns and Impairment (2023 - 2025)
Zentalis Pharmaceuticals (ZNTL) reported Asset Writedowns and Impairment of $2.98 million for Q4 2025, down 19.4% from $3.7 million a year earlier.
Zentalis Pharmaceuticals (ZNTL) Asset Writedowns and Impairment (2023 - 2025) Analysis & Trends
For FY2025, Zentalis Pharmaceuticals posted Asset Writedowns and Impairment of $4.14 million, up 10.7% from FY2024.
- Asset Writedowns and Impairment has a four-year compound annual growth rate of -17.2% (FY2021 to FY2025).
- By year, Asset Writedowns and Impairment came in at $3.74 million in FY2024 (-24.6%), $4.95 million in FY2023 and $8.8 million in FY2021.
- Five-year quarterly Asset Writedowns and Impairment spans a low of $1.15 million in Q1 2025 and a high of $4.95 million in Q1 2023.
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 | Zentalis Pharmaceuticals | 180.60 Mn | 180.60 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 2.98 Mn |
| Mar 31, 2025 | 1.15 Mn |
| Dec 31, 2024 | 3.70 Mn |
| Mar 31, 2023 | 4.95 Mn |
Zentalis Pharmaceuticals 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=ZNTL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "ZNTL", "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=ZNTL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();