Barclays (BCS) Non Operating Income (2012 - 2025)
Barclays' Non Operating Income came in at -$33.25 million for Q4 2025.
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Analysis
Barclays (BCS) Non Operating Income (2012 - 2025) Analysis & Trends
For FY2025, Barclays' Non Operating Income was $30.33 million, down 35.9% from FY2024.
- Going back by year, Non Operating Income was $47.3 million in FY2024 and -$11.19 million in FY2023.
- The Q4 2025 figure represents the lowest quarterly Non Operating Income since Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 901.39 Bn | 901.39 Bn | - | - |
| 2 | Bank Of America | 385.59 Bn | -1,990.47 Bn | - | - |
| 3 | Hsbc Holdings | 330.57 Bn | -1,498.58 Bn | - | - |
| 4 | Morgan Stanley | 292.91 Bn | -216.18 Bn | - | - |
| 5 | Royal Bank Of Canada | 274.44 Bn | -555.60 Bn | - | - |
| 6 | Goldman Sachs | 270.14 Bn | -3,286.97 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 255.92 Bn | -39.02 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.43 Bn | 249.43 Bn | - | - |
| 9 | American Express | 209.33 Bn | 1.15 Bn | - | - |
| 10 | Barclays | 81.41 Bn | -1,605.72 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | -33.25 Mn |
| Jun 30, 2025 | 24.01 Mn |
| Jun 30, 2024 | 5.05 Mn |
| Mar 31, 2024 | 15.22 Mn |
| Dec 31, 2023 | -19.86 Mn |
| Sep 30, 2023 | 11.40 Mn |
| Mar 31, 2023 | -6.08 Mn |
| Sep 30, 2022 | -1.18 Mn |
| Mar 31, 2021 | 182.02 Mn |
| Dec 31, 2020 | 30.37 Mn |
| Sep 30, 2020 | 23.23 Mn |
| Jun 30, 2020 | -32.28 Mn |
| Mar 31, 2020 | 10.25 Mn |
| Dec 31, 2019 | 25.71 Mn |
| Sep 30, 2019 | 33.30 Mn |
| Jun 30, 2019 | 34.73 Mn |
| Mar 31, 2019 | -3.91 Mn |
| Dec 31, 2018 | 47.61 Mn |
| Sep 30, 2018 | 26.07 Mn |
| Jun 30, 2018 | -9.54 Mn |
API Access
Barclays Non Operating Income 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=non-operating-income&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-income", "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=non-operating-income&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();