Barclays Bank (ATMP) Exchange Rate Effect (2009 - 2018)
Barclays Bank (ATMP) posted Exchange Rate Effect of $550.4 million for Q2 2018, up 110.88% on a QoQ basis from -$5.1 billion in Q4 2013.
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Analysis
Barclays Bank (ATMP) Exchange Rate Effect (2009 - 2018) Analysis & Trends
Barclays Bank has reported Exchange Rate Effect for 5 years, with the latest figure at $550.4 million in Q2 2018.
- On a quarterly basis, Exchange Rate Effect changed N/A year-over-year to $550.4 million in Q2 2018; TTM through Jun 2018 was -$11.1 billion, a N/A change from a year earlier, with the FY2025 full-year figure at -$2.3 billion, up 25.02% from the prior year.
- Exchange Rate Effect was $550.4 million for Q2 2018 at Barclays Bank, up from -$5.1 billion in the prior quarter.
- The five-year high for Exchange Rate Effect was $550.4 million in Q2 2018, with the low at $550.4 million in Q2 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Bank Of America | 394.48 Bn | -194.01 Bn | 30.39 Bn | -289.00 Mn |
| 2 | Hsbc Holdings | 348.97 Bn | 349.02 Bn | - | - |
| 3 | Morgan Stanley | 314.73 Bn | 154.60 Bn | - | -503.00 Mn |
| 4 | Royal Bank Of Canada | 285.58 Bn | 58.73 Bn | - | 723.66 Mn |
| 5 | Goldman Sachs | 276.87 Bn | -699.48 Bn | - | -713.00 Mn |
| 6 | Mitsubishi Ufj Financial | 274.03 Bn | -110.29 Bn | 10.89 Bn | - |
| 7 | Wells Fargo & Company | 251.82 Bn | 49.99 Bn | - | - |
| 8 | Banco Santander | 212.85 Bn | 220.46 Bn | 28.01 Bn | 1.21 Bn |
| 9 | Toronto Dominion Bank | 207.22 Bn | 45.89 Bn | - | 134.12 Mn |
| 10 | Barclays Bank | 40.38 Bn | 40.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 550.39 Mn |
| Dec 31, 2013 | -5.06 Bn |
| Dec 31, 2012 | -6.60 Bn |
| Dec 31, 2011 | -4.61 Bn |
| Dec 31, 2009 | -4.68 Bn |
API Access
Barclays Bank Exchange Rate Effect 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=exchange-rate-effect&ticker=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();