Air Products & Chemicals (APD) Asset Writedowns and Impairment (2009 - 2017)
Air Products & Chemicals' Asset Writedowns and Impairment was $162.1 million in FY2017 (year ended Sep 30, 2017).
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Analysis
Air Products & Chemicals (APD) Asset Writedowns and Impairment (2009 - 2017) Analysis & Trends
From FY2009 onward, Air Products & Chemicals has reported Asset Writedowns and Impairment for 5 fiscal years.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 15.1% (FY2012 to FY2017).
- The FY2017 figure marks the highest annual Asset Writedowns and Impairment since FY2014.
- Per Business Quant data, Asset Writedowns and Impairment in earlier fiscal years was $40.2 million in FY2015 (-87.0%) and $310.1 million in FY2014.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 221.03 Bn | 204.14 Bn | 4.43 Bn |
| 2 | Corning | 141.47 Bn | 134.60 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 77.59 Bn | 76.63 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 61.84 Bn | 59.74 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 37.84 Bn | 27.46 Bn | 2.04 Bn |
| 6 | Nutrien | 33.77 Bn | 30.64 Bn | 3.25 Bn |
| 7 | Qnity Electronics | 27.51 Bn | 24.93 Bn | 666.00 Mn |
| 8 | Ati | 26.21 Bn | 24.36 Bn | 309.80 Mn |
| 9 | Ppg Industries | 23.37 Bn | 16.17 Bn | 1.81 Bn |
| 10 | International Flavors & Fragrances | 21.04 Bn | 18.74 Bn | 853.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2017 | 162.10 Mn |
| Sep 30, 2015 | 12.40 Mn |
| Sep 30, 2014 | 310.10 Mn |
| Dec 31, 2010 | 600,000.00 |
| Dec 31, 2009 | 600,000.00 |
API Access
Air Products & Chemicals 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=APD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "APD", "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=APD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();