Barclays Bank (ATMP) Tax Provisions (2010 - 2022)
Barclays Bank (ATMP) posted Tax Provisions of $173.8 million for Q2 2022, up 121.09% on a QoQ basis from -$823.9 million in Q1 2022, and up 226.87% year-over-year from $53.2 million in Q2 2021.
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Analysis
Barclays Bank (ATMP) Tax Provisions (2010 - 2022) Analysis & Trends
Barclays Bank has reported Tax Provisions for 11 years, with the latest figure at $173.8 million in Q2 2022.
- On a quarterly basis, Tax Provisions rose 226.87% year-over-year to $173.8 million in Q2 2022; TTM through Jun 2022 was -$1.5 billion, a 4.37% decrease from a year earlier, with the FY2025 full-year figure at -$1.7 billion, down 33.31% from the prior year.
- Tax Provisions was $173.8 million for Q2 2022 at Barclays Bank, up from -$823.9 million in the prior quarter.
- The five-year high for Tax Provisions was $192.0 million in Q1 2018, with the low at -$823.9 million in Q1 2022.
- Average Tax Provisions over 3 years is -$311.3 million, with a median of -$362.8 million recorded in 2018.
- The sharpest annual moves came in 2018 and 2022: Tax Provisions tumbled 51.01% in 2018, then jumped 226.87% in 2022.
- Over 3 years, Tax Provisions stood at -$588.5 million in 2018, then soared by 76.73% to -$137.0 million in 2021, then surged by 226.87% to $173.8 million in 2022.
- The last three Tax Provisions figures came in at $173.8 million (Q2 2022), -$823.9 million (Q1 2022), and -$137.0 million (Q2 2021), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Bank Of America | 394.48 Bn | -194.01 Bn | 30.39 Bn | 2.49 Bn |
| 2 | Hsbc Holdings | 348.97 Bn | 349.02 Bn | - | - |
| 3 | Morgan Stanley | 314.73 Bn | 154.60 Bn | - | 1.70 Bn |
| 4 | Royal Bank Of Canada | 285.58 Bn | 58.73 Bn | - | 1.24 Bn |
| 5 | Goldman Sachs | 276.87 Bn | -699.48 Bn | - | 1.94 Bn |
| 6 | Mitsubishi Ufj Financial | 274.03 Bn | -110.29 Bn | 10.89 Bn | 1.70 Bn |
| 7 | Wells Fargo & Company | 251.82 Bn | 49.99 Bn | - | 1.40 Bn |
| 8 | Banco Santander | 212.85 Bn | 220.46 Bn | 28.01 Bn | - |
| 9 | Toronto Dominion Bank | 207.22 Bn | 45.89 Bn | - | 883.59 Mn |
| 10 | Barclays Bank | 40.38 Bn | 40.38 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 173.79 Mn |
| Mar 31, 2022 | -823.89 Mn |
| Jun 30, 2021 | -136.98 Mn |
| Mar 31, 2021 | -683.94 Mn |
| Jun 30, 2018 | -588.54 Mn |
| Mar 31, 2018 | 191.96 Mn |
| Dec 31, 2017 | -331.92 Mn |
| Sep 30, 2017 | -423.97 Mn |
| Jun 30, 2017 | -389.73 Mn |
| Mar 31, 2017 | -585.93 Mn |
| Dec 31, 2016 | 62.16 Mn |
| Sep 30, 2016 | -431.18 Mn |
| Jun 30, 2016 | -670.70 Mn |
| Mar 31, 2016 | -355.46 Mn |
| Dec 31, 2015 | -248.87 Mn |
| Sep 30, 2015 | -206.21 Mn |
| Jun 30, 2015 | -495.92 Mn |
| Mar 31, 2015 | -800.81 Mn |
| Dec 31, 2014 | 212.31 Mn |
| Sep 30, 2014 | -847.51 Mn |
API Access
Barclays Bank Tax Provisions 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=tax-provisions&ticker=ATMP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();