Barclays (BCS) Current Taxes (2009 - 2026)
Barclays (BCS) posted Current Taxes of $1.37 billion for Q2 2026, up 13.4% from $1.21 billion a year earlier but down 13.0% from the prior quarter.
Analysis
Barclays (BCS) Current Taxes (2009 - 2026) Analysis & Trends
At the end of FY2025, Barclays' Current Taxes came in at $1.14 billion, up 58.2% from FY2024.
- Annual Current Taxes shows a five-year compound annual growth rate of 6.7% (FY2020 to FY2025).
- In prior years, Barclays' Current Taxes was $723.5 million in FY2024 (+10.0%), $657.98 million in FY2023 (-8.3%), $717.81 million in FY2022 (-24.3%) and $947.98 million in FY2021 (+14.5%).
- Quarterly Current Taxes has run from a low of $565.43 million in Q2 2022 to a high of $1.57 billion in Q1 2026 over five years.
- On a year-over-year basis, Current Taxes has increased in each of the last seven quarters, with growth averaging 29.5% over the last eight quarters.
- The strongest year-over-year quarter for Current Taxes in the past five years was Q4 2025, with growth of 58.9%; the weakest was Q1 2023, with a decline of 51.5%.
- According to Business Quant data, Current Taxes for the three prior quarters was $1.57 billion (Q1 2026), $1.15 billion (Q4 2025) and $1.22 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 902.19 Bn | 902.19 Bn | - | - |
| 2 | Bank Of America | 385.63 Bn | -1,990.44 Bn | - | - |
| 3 | Hsbc Holdings | 330.47 Bn | -1,498.69 Bn | - | - |
| 4 | Morgan Stanley | 292.87 Bn | -216.23 Bn | - | - |
| 5 | Royal Bank Of Canada | 274.66 Bn | -555.39 Bn | - | - |
| 6 | Goldman Sachs | 270.16 Bn | -3,286.96 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 255.81 Bn | -39.14 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.53 Bn | 249.53 Bn | - | - |
| 9 | American Express | 209.56 Bn | 1.39 Bn | - | - |
| 10 | Barclays | 81.39 Bn | -1,605.74 Bn | - | 1.35 Bn |
Historic Data
Download Data
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 |
API Access
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();