Barclays (BCS) Operating Expenses (2010 - 2026)
Barclays (BCS) posted Operating Expenses of -$6.1 billion for Q2 2026, up 1.12% on a QoQ basis from -$6.1 billion in Q1 2026, and down 7.55% year-over-year from -$6.6 billion in Q2 2025.
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Analysis
Barclays (BCS) Operating Expenses (2010 - 2026) Analysis & Trends
Barclays has reported Operating Expenses for 17 years, with the latest figure at -$6.1 billion in Q2 2026.
- On a quarterly basis, Operating Expenses fell 7.55% year-over-year to -$6.1 billion in Q2 2026; TTM through Jun 2026 was -$24.5 billion, a 10.28% decrease from a year earlier, with the FY2025 full-year figure at -$23.6 billion, down 9.89% from the prior year.
- Operating Expenses was -$6.1 billion for Q2 2026 at Barclays, up from -$6.1 billion in the prior quarter.
- The five-year high for Operating Expenses was -$4.2 billion in Q3 2022, with the low at -$6.3 billion in Q2 2022.
- Average Operating Expenses over 5 years is -$5.5 billion, with a median of -$5.5 billion recorded in 2022.
- The largest YoY upside for Operating Expenses was 21.71% in 2023 against a maximum downside of 30.06% in 2023.
- Over 5 years, Operating Expenses stood at -$4.7 billion in 2022, then sank by 30.06% to -$6.1 billion in 2023, then rose by 3.48% to -$5.9 billion in 2024, then fell by 5.13% to -$6.2 billion in 2025, then rose by 2.17% to -$6.1 billion in 2026.
- The last three Operating Expenses figures came in at -$6.1 billion (Q2 2026), -$6.1 billion (Q1 2026), and -$6.2 billion (Q4 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (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 | 10.86 Bn |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | -9.70 Bn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | 14.22 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 | 471.42 Mn |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | -6.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -6.06 Bn |
| Mar 31, 2026 | -6.13 Bn |
| Dec 31, 2025 | -6.20 Bn |
| Sep 30, 2025 | -6.07 Bn |
| Jun 30, 2025 | -5.64 Bn |
| Mar 31, 2025 | -5.50 Bn |
| Dec 31, 2024 | -5.89 Bn |
| Sep 30, 2024 | -5.15 Bn |
| Jun 30, 2024 | -5.06 Bn |
| Mar 31, 2024 | -5.30 Bn |
| Dec 31, 2023 | -6.11 Bn |
| Sep 30, 2023 | -5.00 Bn |
| Jun 30, 2023 | -4.95 Bn |
| Mar 31, 2023 | -5.00 Bn |
| Dec 31, 2022 | -4.70 Bn |
| Sep 30, 2022 | -4.24 Bn |
| Jun 30, 2022 | -6.32 Bn |
| Mar 31, 2022 | -5.52 Bn |
| Dec 31, 2021 | -5.09 Bn |
| Sep 30, 2021 | -4.93 Bn |
API Access
Barclays 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=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();