Barclays Bank (ATMP) Equity Income (2009 - 2018)
Barclays Bank (ATMP) posted Equity Income of $16.3 million for Q2 2018, down 96.99% on a QoQ basis from $543.3 million in Q4 2015.
Analysis
Barclays Bank (ATMP) Equity Income (2009 - 2018) Analysis & Trends
Barclays Bank has reported Equity Income for 8 years, with the latest figure at $16.3 million in Q2 2018.
- On a quarterly basis, Equity Income changed N/A year-over-year to $16.3 million in Q2 2018; TTM through Jun 2018 was $63.5 million, a N/A change from a year earlier, with the FY2023 full-year figure at -$5.0 million, down 234.0% from the prior year.
- Equity Income was $16.3 million for Q2 2018 at Barclays Bank, down from $543.3 million in the prior quarter.
- The five-year high for Equity Income was $605.2 million in Q4 2014, with the low at -$558.3 million in Q3 2014.
- Average Equity Income over 3 years is $8.9 million, with a median of $16.3 million recorded in 2018.
- The largest YoY upside for Equity Income was 749.59% in 2014 against a maximum downside of 1540.83% in 2014.
- Over 3 years, Equity Income stood at $605.2 million in 2014, then retreated by 10.24% to $543.3 million in 2015, then tumbled by 96.99% to $16.3 million in 2018.
- The last three Equity Income figures came in at $16.3 million (Q2 2018), $543.3 million (Q4 2015), and -$496.1 million (Q3 2015), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Equity Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Bank Of America | 394.48 Bn | -194.01 Bn | 30.39 Bn | - |
| 2 | Hsbc Holdings | 348.97 Bn | 349.02 Bn | - | - |
| 3 | Morgan Stanley | 314.73 Bn | 154.60 Bn | - | - |
| 4 | Royal Bank Of Canada | 285.58 Bn | 58.73 Bn | - | 19.36 Mn |
| 5 | Goldman Sachs | 276.87 Bn | -699.48 Bn | - | - |
| 6 | Mitsubishi Ufj Financial | 274.03 Bn | -110.29 Bn | 10.89 Bn | 1.64 Bn |
| 7 | Wells Fargo & Company | 251.82 Bn | 49.99 Bn | - | - |
| 8 | Banco Santander | 212.85 Bn | 220.46 Bn | 28.01 Bn | - |
| 9 | Toronto Dominion Bank | 207.22 Bn | 45.89 Bn | - | - |
| 10 | Barclays Bank | 40.38 Bn | 40.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 16.35 Mn |
| Dec 31, 2015 | 543.26 Mn |
| Sep 30, 2015 | -496.15 Mn |
| Jun 30, 2015 | -26.02 Mn |
| Mar 31, 2015 | 30.33 Mn |
| Dec 31, 2014 | 605.24 Mn |
| Sep 30, 2014 | -558.32 Mn |
| Jun 30, 2014 | -77.40 Mn |
| Mar 31, 2014 | 43.02 Mn |
| Dec 31, 2013 | 71.24 Mn |
| Sep 30, 2013 | 38.75 Mn |
| Jun 30, 2013 | -187.37 Mn |
| Mar 31, 2013 | 83.95 Mn |
| Dec 31, 2012 | 101.17 Mn |
| Dec 31, 2011 | -7.86 Mn |
| Sep 30, 2011 | 9.66 Mn |
| Jun 30, 2011 | 9.78 Mn |
| Mar 31, 2011 | 4.80 Mn |
| Dec 31, 2010 | 39.50 Mn |
| Sep 30, 2010 | 9.30 Mn |
API Access
Barclays Bank Equity Income 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=equity-income&ticker=ATMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "equity-income", "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=equity-income&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();