Barclays (BCS) Selling, General & Administrative (2011 - 2015)
Barclays (BCS) recorded Selling, General & Administrative of -$8.48 billion in FY2025, compared with -$8.08 billion in FY2024.
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Analysis
Barclays (BCS) Selling, General & Administrative (2011 - 2015) Analysis & Trends
Starting with FY2009, Barclays' Selling, General & Administrative history includes 17 years.
- The FY2025 figure is the lowest annual Selling, General & Administrative since FY2011.
- Per Business Quant data, BCS's Selling, General & Administrative was -$8.08 billion in FY2024, -$3.24 billion in FY2023, -$2.81 billion in FY2022 and -$2.94 billion in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 901.39 Bn | 901.39 Bn | - | - |
| 2 | Bank Of America | 385.59 Bn | -1,990.47 Bn | - | - |
| 3 | Hsbc Holdings | 330.57 Bn | -1,498.58 Bn | - | - |
| 4 | Morgan Stanley | 292.91 Bn | -216.18 Bn | - | - |
| 5 | Royal Bank Of Canada | 274.44 Bn | -555.60 Bn | - | - |
| 6 | Goldman Sachs | 270.14 Bn | -3,286.97 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 255.92 Bn | -39.02 Bn | 10.89 Bn | 5.82 Bn |
| 8 | Wells Fargo & Company | 249.43 Bn | 249.43 Bn | - | - |
| 9 | American Express | 209.33 Bn | 1.15 Bn | - | - |
| 10 | Barclays | 81.41 Bn | -1,605.72 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 15.21 Bn |
| Sep 30, 2015 | -5.93 Bn |
| Jun 30, 2015 | -1.19 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 |
| Dec 31, 2012 | -10.67 Bn |
| Dec 31, 2011 | -9.99 Bn |
API Access
Barclays 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=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "BCS", "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=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();