Barclays Bank (ATMP) EPS (Diluted) (2010 - 2022)
Barclays Bank (ATMP) posted EPS (Diluted) of $15.13 for FY2025, up 35.2% from $11.19 in FY2024.
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Analysis
Barclays Bank (ATMP) EPS (Diluted) (2010 - 2022) Analysis & Trends
Since FY2010, Barclays Bank has reported EPS (Diluted) for 16 years.
- Annual EPS (Diluted) shows a five-year compound annual growth rate of 17.5% (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual EPS (Diluted) since FY2021.
- Business Quant data shows ATMP's EPS (Diluted) at $11.19 in FY2024 (+10.3%), $10.14 in FY2023 (-24.2%), $13.38 in FY2022 (-17.0%) and $16.13 in FY2021 (+139.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 911.77 Bn | 911.77 Bn | - | 5.57 |
| 2 | Bank Of America | 360.24 Bn | -2,015.87 Bn | - | 0.90 |
| 3 | Hsbc Holdings | 311.40 Bn | -1,792.19 Bn | - | 2.02 |
| 4 | Morgan Stanley | 292.00 Bn | -252.03 Bn | - | 3.03 |
| 5 | Royal Bank Of Canada | 285.75 Bn | -544.30 Bn | - | 3.06 |
| 6 | Goldman Sachs | 266.89 Bn | -3,476.56 Bn | - | 17.01 |
| 7 | Wells Fargo & Company | 257.34 Bn | 257.34 Bn | - | 1.87 |
| 8 | Mitsubishi Ufj Financial | 245.83 Bn | -95.56 Bn | 10.89 Bn | 2.15 |
| 9 | American Express | 218.29 Bn | 17.77 Bn | - | 5.51 |
| 10 | Barclays Bank | 9.47 Bn | -1,324.42 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 1.48 |
| Mar 31, 2022 | 5.58 |
| Jun 30, 2021 | 2.72 |
| Mar 31, 2021 | 6.96 |
| Jun 30, 2018 | 1.74 |
| Mar 31, 2018 | -0.19 |
| Dec 31, 2016 | 2.33 |
| Sep 30, 2016 | 1.01 |
| Jun 30, 2016 | 6.44 |
| Mar 31, 2016 | 4.09 |
| Dec 31, 2015 | -5.65 |
| Sep 30, 2015 | 4.59 |
| Jun 30, 2015 | 6.51 |
| Mar 31, 2015 | 2.90 |
| Dec 31, 2014 | -2.03 |
| Dec 31, 2012 | -4.07 |
| Dec 31, 2011 | 18.78 |
| Dec 31, 2010 | 22.83 |
API Access
Barclays Bank EPS (Diluted) 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=eps-diluted&ticker=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();