Barclays Bank (ATMP) Net Margin (2014 - 2022)
Barclays Bank (ATMP) posted Net Margin of 18.52% for FY2025, up 2.99 percentage points from 15.53% in FY2024.
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Analysis
Barclays Bank (ATMP) Net Margin (2014 - 2022) Analysis & Trends
Since FY2009, Barclays Bank has reported Net Margin for 17 years.
- Annual Net Margin shows a five-year change of -5.79 percentage points (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual Net Margin since FY2022.
- Business Quant data shows ATMP's Net Margin at 15.53% in FY2024 (+0.46 pp), 15.07% in FY2023 (-4.99 pp), 20.06% in FY2022 (-2.62 pp) and 22.68% in FY2021 (-1.63 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 912.87 Bn | 912.87 Bn | - | 29.77% |
| 2 | Bank Of America | 361.35 Bn | -2,014.76 Bn | - | 21.83% |
| 3 | Hsbc Holdings | 312.03 Bn | -1,791.56 Bn | - | 38.08% |
| 4 | Morgan Stanley | 292.54 Bn | -251.49 Bn | - | 23.36% |
| 5 | Royal Bank Of Canada | 286.44 Bn | -543.61 Bn | - | 32.48% |
| 6 | Goldman Sachs | 268.28 Bn | -3,475.17 Bn | - | 27.42% |
| 7 | Wells Fargo & Company | 257.69 Bn | 257.69 Bn | - | 26.08% |
| 8 | Mitsubishi Ufj Financial | 246.00 Bn | -95.39 Bn | 10.89 Bn | 246.71% |
| 9 | American Express | 218.48 Bn | 17.96 Bn | - | 18.50% |
| 10 | Barclays Bank | 9.47 Bn | -1,324.42 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 11.36% |
| Mar 31, 2022 | 21.61% |
| Jun 30, 2021 | 28.66% |
| Mar 31, 2021 | 28.88% |
| Jun 30, 2018 | 18.09% |
| Mar 31, 2018 | -3.25% |
| Dec 31, 2016 | 11.44% |
| Sep 30, 2016 | 26.65% |
| Jun 30, 2016 | 153.67% |
| Mar 31, 2016 | 107.51% |
| Dec 31, 2015 | -156.13% |
| Sep 30, 2015 | 111.48% |
| Jun 30, 2015 | 166.29% |
| Mar 31, 2015 | 67.44% |
| Dec 31, 2014 | -48.74% |
API Access
Barclays Bank Net Margin 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=net-margin&ticker=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();