Enterprise Financial Services (EFSC) Asset Writedowns and Impairment (2009 - 2017)
Enterprise Financial Services' Asset Writedowns and Impairment came in at $3.44 million for FY2021.
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Analysis
Enterprise Financial Services (EFSC) Asset Writedowns and Impairment (2009 - 2017) Analysis & Trends
Going back to FY2009, Enterprise Financial Services' Asset Writedowns and Impairment data covers 9 years.
- Asset Writedowns and Impairment carries a five-year compound annual growth rate of 409.7% (FY2016 to FY2021).
- The FY2021 figure represents the highest annual Asset Writedowns and Impairment since FY2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Enterprise Financial Services | 2.23 Bn | -4.32 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 18,000.00 |
| Mar 31, 2016 | 1,000.00 |
| Jun 30, 2015 | 41,000.00 |
| Mar 31, 2015 | 41,000.00 |
| Dec 31, 2014 | 78,000.00 |
| Sep 30, 2014 | 28,000.00 |
| Jun 30, 2014 | 246,000.00 |
| Mar 31, 2014 | 344,000.00 |
| Dec 31, 2013 | 481,000.00 |
| Sep 30, 2013 | 208,000.00 |
| Jun 30, 2013 | 210,000.00 |
| Mar 31, 2013 | 544,000.00 |
| Dec 31, 2012 | 197,000.00 |
| Sep 30, 2012 | 387,000.00 |
| Jun 30, 2012 | 778,000.00 |
| Mar 31, 2012 | 1.04 Mn |
| Dec 31, 2011 | 1.44 Mn |
| Sep 30, 2011 | 618,000.00 |
| Jun 30, 2011 | 2.20 Mn |
| Mar 31, 2011 | 442,000.00 |
API Access
Enterprise Financial Services 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=EFSC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "EFSC", "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=EFSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();