Barclays (BCS) Other Operating Expenses (2010 - 2026)
Barclays' Other Operating Expenses was $316.64 million in Q2 2026, compared with $25.35 million a year earlier.
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Analysis
Barclays (BCS) Other Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Barclays' Other Operating Expenses was $452.11 million through Jun 30, 2026, up 306.4% year-over-year; for FY2025, it came in at $117.35 million, up 41.2% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 24.1% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $83.09 million in FY2024 (-50.1%), $166.67 million in FY2023 (-20.8%), $210.39 million in FY2022 (+73.8%) and $121.08 million in FY2021 (+204.1%).
- The Q2 2026 figure marks the highest quarterly Other Operating Expenses in data going back to Q4 2010.
- Compared with a year earlier, Other Operating Expenses was higher in six of the last seven quarters, with growth averaging 51.9%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q3 2024 (growth of 139.3%); the worst was Q2 2024 (a decline of 77.4%).
- Per Business Quant data, BCS's Other Operating Expenses in the three quarters before Q2 2026 was $28.31 million (Q1 2026), $54.54 million (Q4 2025) and $52.63 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 901.39 Bn | 901.39 Bn | - |
| 2 | Bank Of America | 385.63 Bn | -1,990.44 Bn | - |
| 3 | Hsbc Holdings | 330.38 Bn | -1,498.78 Bn | - |
| 4 | Morgan Stanley | 292.94 Bn | -216.15 Bn | - |
| 5 | Royal Bank Of Canada | 274.15 Bn | -555.89 Bn | - |
| 6 | Goldman Sachs | 269.96 Bn | -3,287.16 Bn | - |
| 7 | Mitsubishi Ufj Financial | 255.69 Bn | -39.25 Bn | 10.89 Bn |
| 8 | Wells Fargo & Company | 249.52 Bn | 249.52 Bn | - |
| 9 | American Express | 208.96 Bn | 784.61 Mn | - |
| 10 | Barclays | 81.44 Bn | -1,605.68 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 | -2.37 Bn |
| Mar 31, 2023 | -6.08 Mn |
| Dec 31, 2022 | -4.70 Bn |
| Sep 30, 2022 | -4.24 Bn |
| Jun 30, 2022 | -1.63 Bn |
| Mar 31, 2022 | -13.42 Mn |
| 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();