Barclays (BCS) Operating Margin (2012 - 2022)
Barclays' Operating Margin was 93.60% in Q3 2022, down 4.21 percentage points from 97.80% a year earlier and down 3.42 percentage points from the prior quarter.
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Analysis
Barclays (BCS) Operating Margin (2012 - 2022) Analysis & Trends
On a trailing twelve-month basis, Barclays' Operating Margin was 97.28% through Sep 30, 2022, down 3.47 percentage points year-over-year; for FY2021, it was 102.98%, down 95.66 percentage points from FY2020.
- Operating Margin has now declined for three consecutive years, though with a five-year change of +14.04 percentage points (FY2016 to FY2021).
- In earlier years, Operating Margin was 198.64% in FY2020 (-20.33 pp), 218.97% in FY2019 (-5.17 pp), 224.14% in FY2018 (+135.22 pp) and 88.92% in FY2017 (-0.02 pp).
- The Q3 2022 figure marks the lowest quarterly Operating Margin since Q4 2020.
- Compared with a year earlier, Operating Margin has declined for three straight quarters, with an average year-over-year change of +9.33 percentage points over the last eight quarters.
- The best year-over-year quarter for Operating Margin over five years was Q2 2021 (a gain of 45.12 percentage points); the worst was Q1 2020 (a drop of 25.13 percentage points).
- Per Business Quant data, BCS's Operating Margin in the three quarters before Q3 2022 was 97.02% (Q2 2022), 97.83% (Q1 2022) and 100.60% (Q4 2021).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.86 Bn | 918.86 Bn | - | - |
| 2 | Bank Of America | 355.02 Bn | -2,021.04 Bn | - | - |
| 3 | Hsbc Holdings | 299.60 Bn | -1,803.99 Bn | - | 48.15% |
| 4 | Morgan Stanley | 288.82 Bn | 288.82 Bn | - | - |
| 5 | Royal Bank Of Canada | 288.46 Bn | -541.58 Bn | - | - |
| 6 | Goldman Sachs | 269.80 Bn | 269.80 Bn | - | - |
| 7 | Wells Fargo & Company | 258.84 Bn | 258.84 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 244.75 Bn | -96.64 Bn | 10.89 Bn | 51.45% |
| 9 | American Express | 221.16 Bn | 20.64 Bn | - | - |
| 10 | Barclays | 79.79 Bn | -1,629.13 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2022 | 93.60% |
| Jun 30, 2022 | 97.02% |
| Mar 31, 2022 | 97.83% |
| Dec 31, 2021 | 100.60% |
| Sep 30, 2021 | 97.80% |
| Jun 30, 2021 | 114.72% |
| Mar 31, 2021 | 99.07% |
| Dec 31, 2020 | 90.04% |
| Sep 30, 2020 | 88.32% |
| Jun 30, 2020 | 69.60% |
| Mar 31, 2020 | 66.34% |
| Dec 31, 2019 | 90.13% |
| Sep 30, 2019 | 91.68% |
| Jun 30, 2019 | 91.33% |
| Mar 31, 2019 | 91.47% |
| Dec 31, 2018 | 87.33% |
| Sep 30, 2018 | 95.05% |
| Jun 30, 2018 | 94.92% |
| Mar 31, 2018 | 94.62% |
| Dec 31, 2017 | 88.59% |
API Access
Barclays Operating Margin 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-margin&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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-margin&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();