Barclays (BCS) Other Operating Expenses (2010 - 2026)
Barclays (BCS) posted Other 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) Other Operating Expenses (2010 - 2026) Analysis & Trends
Barclays has reported Other Operating Expenses for 17 years, with the latest figure at -$6.1 billion in Q2 2026.
- On a quarterly basis, Other 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 $118.4 million, up 41.9% from the prior year.
- Other 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 Other Operating Expenses was -$3.8 billion in Q3 2022, with the low at -$6.3 billion in Q2 2022.
- Average Other Operating Expenses over 5 years is -$5.4 billion, with a median of -$5.5 billion recorded in 2022.
- The largest YoY upside for Other Operating Expenses was 21.71% in 2023 against a maximum downside of 48.54% in 2023.
- Over 5 years, Other Operating Expenses stood at -$4.1 billion in 2022, then sank by 48.54% 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 Other 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) |
|---|---|---|---|---|
| 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 |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 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 |
| 10 | Barclays | 87.74 Bn | 88.35 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 | -4.11 Bn |
| Sep 30, 2022 | -3.79 Bn |
| Jun 30, 2022 | -6.32 Bn |
| Mar 31, 2022 | -5.52 Bn |
| Dec 31, 2021 | -5.13 Bn |
| Sep 30, 2021 | -4.76 Bn |
API Access
Barclays Other 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=other-operating-expenses&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();