Barclays Bank (ATMP) EBT (2009 - 2022)
Barclays Bank (ATMP) posted EBT of $836.2 million for Q2 2022, down 72.11% on a QoQ basis from $3.0 billion in Q1 2022, and down 30.27% year-over-year from $1.2 billion in Q2 2021.
Powered by 
Analysis
Barclays Bank (ATMP) EBT (2009 - 2022) Analysis & Trends
Barclays Bank has reported EBT for 12 years, with the latest figure at $836.2 million in Q2 2022.
- On a quarterly basis, EBT fell 30.27% year-over-year to $836.2 million in Q2 2022; TTM through Jun 2022 was $8.3 billion, a 55.3% increase from a year earlier, with the FY2025 full-year figure at $10.4 billion, up 27.17% from the prior year.
- EBT was $836.2 million for Q2 2022 at Barclays Bank, down from $3.0 billion in the prior quarter.
- The five-year high for EBT was $3.3 billion in Q1 2021, with the low at $126.6 million in Q1 2018.
- Average EBT over 3 years is $1.6 billion, with a median of $1.0 billion recorded in 2021.
- The largest YoY upside for EBT was 2.57% in 2018 against a maximum downside of 93.92% in 2018.
- Over 3 years, EBT stood at $863.7 million in 2018, then jumped by 38.85% to $1.2 billion in 2021, then slumped by 30.27% to $836.2 million in 2022.
- The last three EBT figures came in at $836.2 million (Q2 2022), $3.0 billion (Q1 2022), and $1.2 billion (Q2 2021), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Bank Of America | 394.48 Bn | -194.01 Bn | 30.39 Bn | 11.57 Bn |
| 2 | Hsbc Holdings | 348.97 Bn | 349.02 Bn | - | - |
| 3 | Morgan Stanley | 314.73 Bn | 154.60 Bn | - | 7.35 Bn |
| 4 | Royal Bank Of Canada | 285.58 Bn | 58.73 Bn | - | 5.56 Bn |
| 5 | Goldman Sachs | 276.87 Bn | -699.48 Bn | - | 8.56 Bn |
| 6 | Mitsubishi Ufj Financial | 274.03 Bn | -110.29 Bn | 10.89 Bn | 7.02 Bn |
| 7 | Wells Fargo & Company | 251.82 Bn | 49.99 Bn | - | 8.05 Bn |
| 8 | Banco Santander | 212.85 Bn | 220.46 Bn | 28.01 Bn | 5.73 Bn |
| 9 | Toronto Dominion Bank | 207.22 Bn | 45.89 Bn | - | -2.29 Bn |
| 10 | Barclays Bank | 40.38 Bn | 40.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 836.18 Mn |
| Mar 31, 2022 | 3.00 Bn |
| Jun 30, 2021 | 1.20 Bn |
| Mar 31, 2021 | 3.31 Bn |
| Jun 30, 2018 | 863.73 Mn |
| Mar 31, 2018 | 126.58 Mn |
| Dec 31, 2017 | -49.12 Mn |
| Sep 30, 2017 | 1.45 Bn |
| Jun 30, 2017 | 842.08 Mn |
| Mar 31, 2017 | 2.08 Bn |
| Dec 31, 2016 | 410.26 Mn |
| Sep 30, 2016 | 1.10 Bn |
| Jun 30, 2016 | 1.82 Bn |
| Mar 31, 2016 | 1.14 Bn |
| Dec 31, 2015 | -3.15 Bn |
| Sep 30, 2015 | 959.74 Mn |
| Jun 30, 2015 | 2.36 Bn |
| Mar 31, 2015 | 1.60 Bn |
| Dec 31, 2014 | -2.67 Bn |
| Sep 30, 2014 | 1.60 Bn |
API Access
Barclays Bank EBT 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=ebt&ticker=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();