Axalta Coating Systems (AXTA) Asset Writedowns and Impairment (2015 - 2023)
Axalta Coating Systems' Asset Writedowns and Impairment came in at $1 million for FY2025.
Analysis
Axalta Coating Systems (AXTA) Asset Writedowns and Impairment (2015 - 2023) Analysis & Trends
Going back to FY2015, Axalta Coating Systems' Asset Writedowns and Impairment data covers 7 years.
- Asset Writedowns and Impairment carries a four-year compound annual growth rate of 5.7% (FY2021 to FY2025).
- The five-year range for annual Asset Writedowns and Impairment is $800,000 (FY2021) to $15 million (FY2023).
- Per Business Quant, earlier years put Asset Writedowns and Impairment at $15 million in FY2023, $1 million in FY2022 (+25.0%) and $800,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.23 Bn | 216.81 Bn | 4.43 Bn |
| 2 | Corning | 106.66 Bn | 99.22 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 82.20 Bn | 81.24 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.45 Bn | 63.64 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 42.89 Bn | 32.40 Bn | 2.04 Bn |
| 6 | Nutrien | 33.91 Bn | 30.74 Bn | 3.25 Bn |
| 7 | Ppg Industries | 24.62 Bn | 17.28 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.96 Bn | 21.62 Bn | 853.00 Mn |
| 9 | Dow | 23.51 Bn | 7.01 Bn | 2.17 Bn |
| 10 | Axalta Coating Systems | 7.31 Bn | 4.80 Bn | 465.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 8.00 Mn |
| Mar 31, 2023 | 7.00 Mn |
| Sep 30, 2017 | 4.40 Mn |
| Dec 31, 2016 | 57.90 Mn |
| Jun 30, 2015 | 30.60 Mn |
API Access
Axalta Coating Systems 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=AXTA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "AXTA", "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=AXTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();