Washington Trust Bancorp (WASH) Asset Writedowns and Impairment (2011 - 2013)
Washington Trust Bancorp (WASH) posted Asset Writedowns and Impairment of $150,000 for FY2017.
Powered by 
Analysis
Washington Trust Bancorp (WASH) Asset Writedowns and Impairment (2011 - 2013) Analysis & Trends
Since FY2009, Washington Trust Bancorp has reported Asset Writedowns and Impairment for 6 years.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of -7.5% (FY2012 to FY2017).
- The FY2017 figure stands as the highest annual Asset Writedowns and Impairment in data going back to FY2009.
- Business Quant data shows WASH's Asset Writedowns and Impairment at $3.49 million in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - |
| 10 | Washington Trust Bancorp | 744.14 Mn | 694.22 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2013 | 717,000.00 |
| Mar 31, 2013 | 2.77 Mn |
| Dec 31, 2012 | 12,000.00 |
| Mar 31, 2012 | 209,000.00 |
| Sep 30, 2011 | 158,000.00 |
| Mar 31, 2011 | 33,000.00 |
API Access
Washington Trust Bancorp 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=WASH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "WASH", "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=WASH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();