Barclays Bank (ATMP) Selling, General & Administrative (2013 - 2018)
Barclays Bank (ATMP) posted Selling, General & Administrative of -$8.16 billion for FY2025, compared with -$7.53 billion in FY2024.
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Analysis
Barclays Bank (ATMP) Selling, General & Administrative (2013 - 2018) Analysis & Trends
Since FY2009, Barclays Bank has reported Selling, General & Administrative for 17 years.
- The FY2025 figure stands as the lowest annual Selling, General & Administrative since FY2013.
- Business Quant data shows ATMP's Selling, General & Administrative at -$7.53 billion in FY2024, -$6.97 billion in FY2023, -$5.85 billion in FY2022 and $6.02 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | - |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 5.82 Bn |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | - |
| 10 | Barclays Bank | 21.10 Bn | -1,312.79 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2018 | 5.38 Bn |
| Mar 31, 2018 | 1,578.83 |
| Dec 31, 2015 | 15.21 Bn |
| Sep 30, 2015 | -4.25 Bn |
| Jun 30, 2015 | -2.86 Bn |
| Mar 31, 2015 | -3.69 Bn |
| Dec 31, 2014 | 14.72 Bn |
| Sep 30, 2014 | -6.25 Bn |
| Jun 30, 2014 | -1.66 Bn |
| Mar 31, 2014 | -2.47 Bn |
| Dec 31, 2013 | 17.89 Bn |
| Sep 30, 2013 | -5.56 Bn |
| Jun 30, 2013 | -2.45 Bn |
| Mar 31, 2013 | -2.73 Bn |
API Access
Barclays Bank Selling, General & Administrative 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=selling-general-and-administrative&ticker=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();