Columbia Banking System (COLB) Asset Writedowns and Impairment (2010 - 2015)
Columbia Banking System's Asset Writedowns and Impairment came in at $596,000 for Q2 2015, down 38.8% from $974,000 a year earlier but up 202.5% from the prior quarter.
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Analysis
Columbia Banking System (COLB) Asset Writedowns and Impairment (2010 - 2015) Analysis & Trends
Over the trailing twelve months to Jun 30, 2015, Columbia Banking System reported Asset Writedowns and Impairment of $2.28 million, down 42.0% year-over-year; for FY2014, it was $4.04 million, up 98.5% from FY2013.
- Asset Writedowns and Impairment carries a five-year compound annual growth rate of 102.4% (FY2009 to FY2014).
- Going back by year, Asset Writedowns and Impairment was $2.04 million in FY2013 (-75.5%), $8.3 million in FY2012 (+31.6%), $6.31 million in FY2011 (+22.6%) and $5.14 million in FY2010.
- The five-year range for quarterly Asset Writedowns and Impairment is $106,000 (Q4 2013) to $3.13 million (Q1 2012).
- Year-over-year, Asset Writedowns and Impairment increased in four of the last eight quarters, with growth averaging 175.7%.
- The fastest year-over-year change in Asset Writedowns and Impairment over five years came in Q1 2014 (growth of 900.0%), and the weakest in Q1 2013 (a decline of 94.9%).
- Business Quant data shows COLB's Asset Writedowns and Impairment at $197,000 (Q1 2015), $819,000 (Q4 2014) and $666,000 (Q3 2014) in the three quarters before Q2 2015.
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 | Columbia Banking System | 8.18 Bn | -411.93 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 596,000.00 |
| Mar 31, 2015 | 197,000.00 |
| Dec 31, 2014 | 819,000.00 |
| Sep 30, 2014 | 666,000.00 |
| Jun 30, 2014 | 974,000.00 |
| Mar 31, 2014 | 1.58 Mn |
| Dec 31, 2013 | 106,000.00 |
| Sep 30, 2013 | 1.27 Mn |
| Jun 30, 2013 | 506,000.00 |
| Mar 31, 2013 | 158,000.00 |
| Dec 31, 2012 | 1.30 Mn |
| Sep 30, 2012 | 1.19 Mn |
| Jun 30, 2012 | 2.69 Mn |
| Mar 31, 2012 | 3.13 Mn |
| Dec 31, 2011 | 915,000.00 |
| Sep 30, 2011 | 833,000.00 |
| Jun 30, 2011 | 2.63 Mn |
| Mar 31, 2011 | 1.93 Mn |
| Dec 31, 2010 | 558,000.00 |
| Sep 30, 2010 | 2.79 Mn |
API Access
Columbia Banking System 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=COLB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "COLB", "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=COLB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();