Dow (DOW) Asset Writedowns and Impairment (2009 - 2024)
Dow's Asset Writedowns and Impairment was $303 million in FY2025, up 718.9% from $37 million in FY2024.
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Analysis
Dow (DOW) Asset Writedowns and Impairment (2009 - 2024) Analysis & Trends
From FY2009 onward, Dow has reported Asset Writedowns and Impairment for 11 years.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 44.0% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Asset Writedowns and Impairment since FY2017.
- Per Business Quant data, Asset Writedowns and Impairment in earlier years was $37 million in FY2024 (+428.6%), $7 million in FY2023 (-94.1%) and $118 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.60 Bn | 217.18 Bn | 4.43 Bn |
| 2 | Corning | 107.02 Bn | 99.59 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 82.88 Bn | 81.92 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.63 Bn | 63.82 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 43.04 Bn | 32.54 Bn | 2.04 Bn |
| 6 | Nutrien | 33.88 Bn | 30.71 Bn | 3.25 Bn |
| 7 | Ppg Industries | 24.78 Bn | 17.43 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 24.10 Bn | 21.76 Bn | 853.00 Mn |
| 9 | Dow | 23.66 Bn | 7.15 Bn | 2.17 Bn |
| 10 | Qnity Electronics | 23.01 Bn | 20.15 Bn | 666.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 37.00 Mn |
| Dec 31, 2020 | -9.00 Mn |
| Sep 30, 2020 | 46.00 Mn |
| Jun 30, 2020 | 6.00 Mn |
| Mar 31, 2020 | 6.00 Mn |
| Dec 31, 2019 | 24.00 Mn |
| Sep 30, 2019 | 75.00 Mn |
| Jun 30, 2019 | 6.00 Mn |
| Mar 31, 2019 | 12.00 Mn |
| Dec 31, 2018 | 25.00 Mn |
| Sep 30, 2018 | 3.00 Mn |
| Jun 30, 2018 | 3.00 Mn |
| Dec 31, 2017 | 622.00 Mn |
| Jun 30, 2016 | 153.00 Mn |
| Jun 30, 2010 | 5.00 Mn |
| Mar 31, 2010 | 8.00 Mn |
| Jun 30, 2009 | 205.00 Mn |
API Access
Dow 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=DOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "DOW", "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=DOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();