Barclays (BCS) Tax Provisions (2011 - 2026)
Barclays (BCS) posted Tax Provisions of -$980.8 million for Q2 2026, down 14.02% on a QoQ basis from -$860.1 million in Q1 2026, and down 33.19% year-over-year from -$1.5 billion in Q2 2025.
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Analysis
Barclays (BCS) Tax Provisions (2011 - 2026) Analysis & Trends
Barclays has reported Tax Provisions for 16 years, with the latest figure at -$980.8 million in Q2 2026.
- On a quarterly basis, Tax Provisions fell 33.19% year-over-year to -$980.8 million in Q2 2026; TTM through Jun 2026 was -$2.8 billion, a 8.39% decrease from a year earlier, with the FY2025 full-year figure at -$2.6 billion, down 13.93% from the prior year.
- Tax Provisions was -$980.8 million for Q2 2026 at Barclays, down from -$860.1 million in the prior quarter.
- The five-year high for Tax Provisions was $38.7 million in Q4 2022, with the low at -$980.8 million in Q2 2026.
- Average Tax Provisions over 5 years is -$526.6 million, with a median of -$537.1 million recorded in 2024.
- The sharpest annual moves came in 2022 and 2024: Tax Provisions surged 127.61% in 2022, then plunged 2114.29% in 2024.
- Over 5 years, Tax Provisions stood at $38.7 million in 2022, then retreated by 26.25% to $28.5 million in 2023, then slumped by 2114.29% to -$575.0 million in 2024, then advanced by 10.24% to -$516.1 million in 2025, then plunged by 90.03% to -$980.8 million in 2026.
- The last three Tax Provisions figures came in at -$980.8 million (Q2 2026), -$860.1 million (Q1 2026), and -$516.1 million (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 659.57 Bn | 643.59 Bn | 5.90 Bn | - |
| 2 | Hsbc Holdings | 354.33 Bn | 354.38 Bn | - | - |
| 3 | General Electric | 331.23 Bn | 322.11 Bn | 6.95 Bn | 407.00 Mn |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | -291.00 Mn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | 2.01 Bn |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - | - |
| 7 | Diageo | 211.16 Bn | 211.21 Bn | - | - |
| 8 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 9 | Ferrari | 154.46 Bn | 152.71 Bn | 1.18 Bn | 160.68 Mn |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | -980.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -980.77 Mn |
| Mar 31, 2026 | -860.14 Mn |
| Dec 31, 2025 | -516.10 Mn |
| Sep 30, 2025 | -492.52 Mn |
| Jun 30, 2025 | -736.39 Mn |
| Mar 31, 2025 | -782.15 Mn |
| Dec 31, 2024 | -575.01 Mn |
| Sep 30, 2024 | -535.31 Mn |
| Jun 30, 2024 | -538.97 Mn |
| Mar 31, 2024 | -589.86 Mn |
| Dec 31, 2023 | 28.55 Mn |
| Sep 30, 2023 | -434.47 Mn |
| Jun 30, 2023 | -441.73 Mn |
| Mar 31, 2023 | -681.90 Mn |
| Dec 31, 2022 | 38.71 Mn |
| Sep 30, 2022 | -293.46 Mn |
| Jun 30, 2022 | -263.20 Mn |
| Mar 31, 2022 | -823.89 Mn |
| Dec 31, 2021 | -140.19 Mn |
| Sep 30, 2021 | -402.55 Mn |
API Access
Barclays 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=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();