Barclays (BCS) Operating Income (2010 - 2022)
Barclays' Operating Income was $6.56 billion in Q3 2022, down 10.9% from $7.37 billion a year earlier and down 19.9% from the prior quarter.
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Analysis
Barclays (BCS) Operating Income (2010 - 2022) Analysis & Trends
On a trailing twelve-month basis, Barclays' Operating Income was $30.29 billion through Sep 30, 2022, up 1.0% year-over-year; for FY2021, it came in at $31.09 billion, up 43.0% from FY2020.
- Operating Income shows a five-year compound annual growth rate of 3.7% (FY2016 to FY2021).
- In earlier years, Operating Income was $21.74 billion in FY2020 (-13.7%), $25.18 billion in FY2019 (-4.1%), $26.27 billion in FY2018 (+8.8%) and $24.14 billion in FY2017 (-6.7%).
- The Q3 2022 figure marks the lowest quarterly Operating Income since Q4 2020.
- Compared with a year earlier, Operating Income was higher in five of the last eight quarters, with growth averaging 20.9%.
- The best year-over-year quarter for Operating Income over five years was Q2 2021 (growth of 88.2%); the worst was Q2 2020 (a decline of 29.1%).
- Per Business Quant data, BCS's Operating Income in the three quarters before Q3 2022 was $8.2 billion (Q2 2022), $8.53 billion (Q1 2022) and $7 billion (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (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 | - | 9.36 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 | 5.11 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 |
|---|---|
| Sep 30, 2022 | 6.56 Bn |
| Jun 30, 2022 | 8.20 Bn |
| Mar 31, 2022 | 8.53 Bn |
| Dec 31, 2021 | 7.00 Bn |
| Sep 30, 2021 | 7.37 Bn |
| Jun 30, 2021 | 8.68 Bn |
| Mar 31, 2021 | 8.06 Bn |
| Dec 31, 2020 | 5.87 Bn |
| Sep 30, 2020 | 5.93 Bn |
| Jun 30, 2020 | 4.61 Bn |
| Mar 31, 2020 | 5.34 Bn |
| Dec 31, 2019 | 6.14 Bn |
| Sep 30, 2019 | 6.26 Bn |
| Jun 30, 2019 | 6.51 Bn |
| Mar 31, 2019 | 6.25 Bn |
| Dec 31, 2018 | 5.70 Bn |
| Sep 30, 2018 | 6.35 Bn |
| Jun 30, 2018 | 7.21 Bn |
| Mar 31, 2018 | 7.05 Bn |
| Dec 31, 2017 | 5.91 Bn |
API Access
Barclays 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=operating-income&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-income&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();