Southside Bancshares (SBSI) Asset Writedowns and Impairment (2010 - 2013)
Southside Bancshares' Asset Writedowns and Impairment came in at $58,000 for Q4 2013, compared with -$153,000 a year earlier.
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Analysis
Southside Bancshares (SBSI) Asset Writedowns and Impairment (2010 - 2013) Analysis & Trends
For FY2013, Southside Bancshares' Asset Writedowns and Impairment was $100,000, up 257.1% from FY2012.
- Asset Writedowns and Impairment carries a three-year compound annual growth rate of 10.1% (FY2010 to FY2013).
- Going back by year, Asset Writedowns and Impairment was $28,000 in FY2012 (-89.4%), $264,000 in FY2011 (+252.0%) and $75,000 in FY2010.
- The Q4 2013 figure represents the highest quarterly Asset Writedowns and Impairment since Q1 2012.
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 | Southside Bancshares | 918.98 Mn | -722.45 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 58,000.00 |
| Mar 31, 2013 | 42,000.00 |
| Dec 31, 2012 | -153,000.00 |
| Jun 30, 2012 | 40,000.00 |
| Mar 31, 2012 | 141,000.00 |
| Dec 31, 2011 | 80,000.00 |
| Mar 31, 2011 | 130,000.00 |
| Mar 31, 2010 | 75,000.00 |
API Access
Southside Bancshares 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=SBSI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "SBSI", "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=SBSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();