Barclays Bank (ATMP) Wages, Salaries and Other (2013 - 2018)
Barclays Bank (ATMP) reported Wages, Salaries and Other of -$7.36 billion for FY2025, compared with -$7.1 billion in FY2024.
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Analysis
Barclays Bank (ATMP) Wages, Salaries and Other (2013 - 2018) Analysis & Trends
Dating back to FY2009, Barclays Bank's Wages, Salaries and Other record includes 17 years.
- The FY2025 figure ranks as the lowest annual Wages, Salaries and Other since FY2016.
- According to Business Quant data, Wages, Salaries and Other came in at -$7.1 billion in FY2024, -$6.95 billion in FY2023, -$6.43 billion in FY2022 and -$6.13 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Wages (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 15.16 Bn |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 10.99 Bn |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 8.19 Bn |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 4.51 Bn |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 6.10 Bn |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 8.85 Bn |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 3.54 Bn |
| 10 | Barclays Bank | 21.10 Bn | -1,312.79 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 2.88 Bn |
| Mar 31, 2018 | 446.52 Mn |
| Dec 31, 2015 | 24.65 Bn |
| Sep 30, 2015 | -4.81 Bn |
| Jun 30, 2015 | -3.18 Bn |
| Mar 31, 2015 | -3.36 Bn |
| Dec 31, 2014 | 28.89 Bn |
| Sep 30, 2014 | -4.42 Bn |
| Jun 30, 2014 | -4.69 Bn |
| Mar 31, 2014 | -4.87 Bn |
| Dec 31, 2013 | 34.59 Bn |
| Sep 30, 2013 | -4.31 Bn |
| Jun 30, 2013 | -4.44 Bn |
| Mar 31, 2013 | -5.51 Bn |
API Access
Barclays Bank Wages, Salaries and Other 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=wages-salaries-and-other&ticker=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "wages-salaries-and-other", "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=wages-salaries-and-other&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();