Barclays (BCS) Non Operating Income (2013 - 2025)
Barclays (BCS) posted Non Operating Income of -$33.3 million for Q4 2025, down 238.48% on a QoQ basis from $24.0 million in Q2 2025.
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Analysis
Barclays (BCS) Non Operating Income (2013 - 2025) Analysis & Trends
Barclays has reported Non Operating Income for 13 years, with the latest figure at -$33.3 million in Q4 2025.
- On a quarterly basis, Non Operating Income changed N/A year-over-year to -$33.3 million in Q4 2025; TTM through Dec 2025 was $11.0 million, a N/A change from a year earlier, with the FY2025 full-year figure at $30.6 million, down 35.58% from the prior year.
- Non Operating Income was -$33.3 million for Q4 2025 at Barclays, down from $24.0 million in the prior quarter.
- The five-year high for Non Operating Income was $182.0 million in Q1 2021, with the low at -$33.3 million in Q4 2025.
- Average Non Operating Income over 5 years is $23.1 million, with a median of $8.8 million recorded in 2022.
- The sharpest annual moves came in 2021 and 2023: Non Operating Income soared 1674.93% in 2021, then slumped 269.31% in 2023.
- Over 5 years, Non Operating Income stood at $129.6 million in 2021, then slumped by 90.95% to $11.7 million in 2022, then plunged by 269.31% to -$19.9 million in 2023, then soared by 125.42% to $5.0 million in 2024, then slumped by 758.64% to -$33.3 million in 2025.
- The last three Non Operating Income figures came in at -$33.3 million (Q4 2025), $24.0 million (Q2 2025), and $5.0 million (Q2 2024), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Op. Inc. (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 | 313.00 Mn |
| 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 | 4.69 Mn |
| 10 | Barclays | 87.74 Bn | 88.35 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 |
| Jun 30, 2023 | 3.75 Mn |
| Mar 31, 2023 | -6.08 Mn |
| Dec 31, 2022 | 11.73 Mn |
| Sep 30, 2022 | -1.18 Mn |
| Jun 30, 2022 | 8.82 Mn |
| Mar 31, 2022 | -13.42 Mn |
| Sep 30, 2021 | 129.59 Mn |
| Jun 30, 2021 | 29.35 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 |
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();