Barclays Bank (ATMP) EBIT Margin (2014 - 2022)
Barclays Bank (ATMP) recorded EBIT Margin of 105.40% in FY2025, down 19.52 percentage points from 124.93% in FY2024.
Analysis
Barclays Bank (ATMP) EBIT Margin (2014 - 2022) Analysis & Trends
Starting with FY2009, Barclays Bank's EBIT Margin history includes 17 years.
- Annual EBIT Margin has a five-year change of -64.52 percentage points (FY2020 to FY2025).
- The FY2025 figure is the lowest annual EBIT Margin since FY2022.
- Per Business Quant data, ATMP's EBIT Margin was 124.93% in FY2024 (+5.42 pp), 119.50% in FY2023 (+57.68 pp), 61.82% in FY2022 (-28.08 pp) and 89.91% in FY2021 (-80.02 pp).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 914.09 Bn | 914.09 Bn | - | 91.99% |
| 2 | Bank Of America | 361.81 Bn | -2,014.30 Bn | - | 89.38% |
| 3 | Hsbc Holdings | 312.33 Bn | -1,791.27 Bn | - | 48.15% |
| 4 | Morgan Stanley | 292.44 Bn | -251.59 Bn | - | 95.47% |
| 5 | Royal Bank Of Canada | 286.86 Bn | -543.18 Bn | - | 138.04% |
| 6 | Goldman Sachs | 267.76 Bn | -3,475.69 Bn | - | 139.33% |
| 7 | Wells Fargo & Company | 257.93 Bn | 257.93 Bn | - | 84.54% |
| 8 | Mitsubishi Ufj Financial | 246.35 Bn | -95.04 Bn | 10.89 Bn | 51.45% |
| 9 | American Express | 218.88 Bn | 18.36 Bn | - | 32.15% |
| 10 | Barclays Bank | 9.47 Bn | -1,324.42 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 95.65% |
| Mar 31, 2022 | 97.83% |
| Jun 30, 2021 | 114.98% |
| Mar 31, 2021 | 99.07% |
| Jun 30, 2018 | 232.41% |
| Mar 31, 2018 | 107.13% |
| Dec 31, 2016 | -52.03% |
| Sep 30, 2016 | 501.50% |
| Jun 30, 2016 | 602.14% |
| Mar 31, 2016 | 551.04% |
| Dec 31, 2015 | 502.90% |
| Sep 30, 2015 | 565.78% |
| Jun 30, 2015 | 703.91% |
| Mar 31, 2015 | 552.86% |
| Dec 31, 2014 | 503.80% |
API Access
Barclays Bank EBIT 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=ebit-margin&ticker=ATMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit-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=ebit-margin&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();