Fnb (FNB) Asset Writedowns and Impairment (2009 - 2011)
Fnb's Asset Writedowns and Impairment came in at $27,000 for FY2013, down 87.3% from $212,000 in FY2012.
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Analysis
Fnb (FNB) Asset Writedowns and Impairment (2009 - 2011) Analysis & Trends
Going back to FY2009, Fnb's Asset Writedowns and Impairment data covers 5 years.
- Asset Writedowns and Impairment carries a four-year compound annual growth rate of -75.8% (FY2009 to FY2013).
- The FY2013 figure represents the lowest annual Asset Writedowns and Impairment in data going back to FY2009.
- Per Business Quant, earlier years put Asset Writedowns and Impairment at $212,000 in FY2012 (+221.2%), $66,000 in FY2011 (-97.2%), $2.34 million in FY2010 (-70.4%) and $7.89 million in FY2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - |
| 10 | Fnb | 6.16 Bn | -3.79 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2011 | 29,000.00 |
| Sep 30, 2011 | 37,000.00 |
| Dec 31, 2010 | 51,000.00 |
| Jun 30, 2010 | 602,000.00 |
| Mar 31, 2010 | 1.69 Mn |
| Dec 31, 2009 | 3.66 Mn |
| Sep 30, 2009 | 3.29 Mn |
| Jun 30, 2009 | 740,000.00 |
API Access
Fnb 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=FNB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "FNB", "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=FNB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();