Barclays (BCS) Current Taxes (2009 - 2026)
Barclays (BCS) posted Current Taxes of $1.4 billion for Q2 2026, down 13.02% on a QoQ basis from $1.6 billion in Q1 2026, and up 13.35% year-over-year from $1.2 billion in Q2 2025.
Barclays (BCS) Current Taxes (2009 - 2026) Analysis & Trends
Barclays has reported Current Taxes for 18 years, with the latest figure at $1.4 billion in Q2 2026.
- On a quarterly basis, Current Taxes rose 13.35% year-over-year to $1.4 billion in Q2 2026; TTM through Jun 2026 was $1.4 billion, a 13.35% increase from a year earlier, with the FY2025 full-year figure at $1.2 billion, up 58.93% from the prior year.
- Current Taxes was $1.4 billion for Q2 2026 at Barclays, down from $1.6 billion in the prior quarter.
- The five-year high for Current Taxes was $1.6 billion in Q1 2026, with the low at $565.4 million in Q2 2022.
- Average Current Taxes over 5 years is $960.0 million, with a median of $855.3 million recorded in 2023.
- The sharpest annual moves came in 2023 and 2025: Current Taxes sank 51.52% in 2023, then jumped 58.93% in 2025.
- Over 5 years, Current Taxes stood at $680.3 million in 2022, then decreased by 3.49% to $656.6 million in 2023, then advanced by 10.65% to $726.5 million in 2024, then surged by 58.93% to $1.2 billion in 2025, then increased by 18.53% to $1.4 billion in 2026.
- The last three Current Taxes figures came in at $1.4 billion (Q2 2026), $1.6 billion (Q1 2026), and $1.2 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 659.57 Bn | 643.59 Bn | 5.90 Bn | 566.42 Mn |
| 2 | Hsbc Holdings | 354.33 Bn | 354.38 Bn | - | 454.55 Mn |
| 3 | General Electric | 331.23 Bn | 322.11 Bn | 6.95 Bn | - |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | -1.47 Bn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | - |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - | 9.71 Bn |
| 7 | Diageo | 211.16 Bn | 211.21 Bn | - | -207.00 Mn |
| 8 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | -701.00 Mn |
| 9 | Ferrari | 154.46 Bn | 152.71 Bn | 1.18 Bn | 97.89 Mn |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | 1.37 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.37 Bn |
| Mar 31, 2026 | 1.57 Bn |
| Dec 31, 2025 | 1.15 Bn |
| Sep 30, 2025 | 1.22 Bn |
| Jun 30, 2025 | 1.21 Bn |
| Mar 31, 2025 | 1.13 Bn |
| Dec 31, 2024 | 726.46 Mn |
| Sep 30, 2024 | 812.06 Mn |
| Jun 30, 2024 | 865.88 Mn |
| Mar 31, 2024 | 824.54 Mn |
| Dec 31, 2023 | 656.57 Mn |
| Sep 30, 2023 | 929.75 Mn |
| Jun 30, 2023 | 844.67 Mn |
| Mar 31, 2023 | 683.12 Mn |
| Dec 31, 2022 | 680.30 Mn |
| Sep 30, 2022 | 628.17 Mn |
| Jun 30, 2022 | 565.43 Mn |
| Mar 31, 2022 | 1.41 Bn |
| Dec 31, 2021 | 928.78 Mn |
| Sep 30, 2021 | 847.83 Mn |
Barclays Current Taxes 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=current-taxes&ticker=BCS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-taxes", "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=current-taxes&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();