Barclays Bank (ATMP) Asset Writedowns and Impairment (2018)
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Analysis
Barclays Bank (ATMP) Asset Writedowns and Impairment (2018) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 904.99 Bn | 904.99 Bn | - |
| 2 | Bank Of America | 359.14 Bn | -2,016.97 Bn | - |
| 3 | Hsbc Holdings | 310.97 Bn | -1,792.63 Bn | - |
| 4 | Morgan Stanley | 290.58 Bn | -253.45 Bn | - |
| 5 | Royal Bank Of Canada | 286.38 Bn | -543.66 Bn | - |
| 6 | Goldman Sachs | 265.79 Bn | -3,477.65 Bn | - |
| 7 | Wells Fargo & Company | 256.92 Bn | 256.92 Bn | - |
| 8 | Mitsubishi Ufj Financial | 245.89 Bn | -95.50 Bn | 10.89 Bn |
| 9 | American Express | 217.65 Bn | 17.13 Bn | - |
| 10 | Barclays Bank | 9.47 Bn | -1,324.42 Bn | - |
API Access
Barclays Bank 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=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "ATMP", "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=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();