Barclays Bank (ATMP) Operating Expenses (2009 - 2022)
Barclays Bank (ATMP) posted Operating Expenses of -$3.8 billion for Q2 2022, up 31.95% on a QoQ basis from -$5.5 billion in Q1 2022, and down 63.27% year-over-year from -$10.2 billion in Q2 2021.
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Analysis
Barclays Bank (ATMP) Operating Expenses (2009 - 2022) Analysis & Trends
Barclays Bank has reported Operating Expenses for 12 years, with the latest figure at -$3.8 billion in Q2 2022.
- On a quarterly basis, Operating Expenses fell 63.27% year-over-year to -$3.8 billion in Q2 2022; TTM through Jun 2022 was -$16.5 billion, a 7.87% increase from a year earlier, with the FY2025 full-year figure at -$17.4 billion, down 7.17% from the prior year.
- Operating Expenses was -$3.8 billion for Q2 2022 at Barclays Bank, up from -$5.5 billion in the prior quarter.
- The five-year high for Operating Expenses was $2.0 billion in Q1 2018, with the low at -$10.7 billion in Q2 2018.
- Average Operating Expenses over 3 years is -$4.2 billion, with a median of -$4.3 billion recorded in 2021.
- The largest YoY upside for Operating Expenses was 145.18% in 2018 against a maximum downside of 103.23% in 2018.
- Over 3 years, Operating Expenses stood at -$10.7 billion in 2018, then soared by 78.47% to -$2.3 billion in 2021, then plunged by 63.27% to -$3.8 billion in 2022.
- The last three Operating Expenses figures came in at -$3.8 billion (Q2 2022), -$5.5 billion (Q1 2022), and -$2.3 billion (Q2 2021), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bank Of America | 394.48 Bn | -194.01 Bn | 30.39 Bn | 18.63 Bn |
| 2 | Hsbc Holdings | 348.97 Bn | 349.02 Bn | - | - |
| 3 | Morgan Stanley | 314.73 Bn | 154.60 Bn | - | 13.90 Bn |
| 4 | Royal Bank Of Canada | 285.58 Bn | 58.73 Bn | - | 7.02 Bn |
| 5 | Goldman Sachs | 276.87 Bn | -699.48 Bn | - | 11.67 Bn |
| 6 | Mitsubishi Ufj Financial | 274.03 Bn | -110.29 Bn | 10.89 Bn | 17.50 Bn |
| 7 | Wells Fargo & Company | 251.82 Bn | 49.99 Bn | - | 13.66 Bn |
| 8 | Banco Santander | 212.85 Bn | 220.46 Bn | 28.01 Bn | -7.44 Bn |
| 9 | Toronto Dominion Bank | 207.22 Bn | 45.89 Bn | - | 6.08 Bn |
| 10 | Barclays Bank | 40.38 Bn | 40.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | -3.75 Bn |
| Mar 31, 2022 | -5.52 Bn |
| Jun 30, 2021 | -2.30 Bn |
| Mar 31, 2021 | -4.93 Bn |
| Jun 30, 2018 | -10.68 Bn |
| Mar 31, 2018 | 2.03 Bn |
| Dec 31, 2017 | 543.01 Mn |
| Sep 30, 2017 | -4.39 Bn |
| Jun 30, 2017 | -5.26 Bn |
| Mar 31, 2017 | -4.48 Bn |
| Dec 31, 2016 | -5.37 Bn |
| Sep 30, 2016 | -5.68 Bn |
| Jun 30, 2016 | -5.56 Bn |
| Mar 31, 2016 | -5.48 Bn |
| Dec 31, 2015 | -8.64 Bn |
| Sep 30, 2015 | -6.59 Bn |
| Jun 30, 2015 | -6.86 Bn |
| Mar 31, 2015 | -6.23 Bn |
| Dec 31, 2014 | -8.24 Bn |
| Sep 30, 2014 | -7.12 Bn |
API Access
Barclays Bank Operating Expenses 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=operating-expenses&ticker=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();