Barclays (BCS) Return on Sales [ROS] (2013 - 2026)
Barclays (BCS) posted Return on Sales [ROS] of 39.00% for Q2 2026, up 4.44 percentage points from 34.56% a year earlier and up 4.53 percentage points from the prior quarter.
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Analysis
Barclays (BCS) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Barclays was 32.54%, up 0.51 percentage points year-over-year; for FY2025, it came in at -43.06%, up 21.45 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -120.84 percentage points (FY2020 to FY2025).
- In prior years, Barclays' Return on Sales [ROS] was -64.51% in FY2024 (-2.22 pp), -62.29% in FY2023 (-56.24 pp), -6.06% in FY2022 (-109.03 pp) and 102.98% in FY2021 (+25.20 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] since Q3 2022.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +4.16 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2024, with a gain of 21.89 percentage points; the weakest was Q4 2022, with a drop of 78.02 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 34.47% (Q1 2026), 26.27% (Q4 2025) and 28.98% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 900.79 Bn | 900.79 Bn | - | 91.77% |
| 2 | Bank Of America | 385.95 Bn | -1,990.11 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 330.38 Bn | -1,498.78 Bn | - | - |
| 4 | Morgan Stanley | 291.63 Bn | -217.46 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 274.61 Bn | -555.43 Bn | - | 138.04% |
| 6 | Goldman Sachs | 269.01 Bn | -3,288.10 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 255.58 Bn | -39.36 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.20 Bn | 249.20 Bn | - | 84.05% |
| 9 | American Express | 209.36 Bn | 1.18 Bn | - | 30.70% |
| 10 | Barclays | 81.25 Bn | -1,605.88 Bn | - | 39.00% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.00% |
| Mar 31, 2026 | 34.47% |
| Dec 31, 2025 | 26.27% |
| Sep 30, 2025 | 28.98% |
| Jun 30, 2025 | 34.56% |
| Mar 31, 2025 | 35.27% |
| Dec 31, 2024 | 23.85% |
| Sep 30, 2024 | 34.09% |
| Jun 30, 2024 | 30.65% |
| Mar 31, 2024 | 32.75% |
| Dec 31, 2023 | 1.96% |
| Sep 30, 2023 | 30.12% |
| Jun 30, 2023 | 31.25% |
| Mar 31, 2023 | 35.90% |
| Dec 31, 2022 | 22.58% |
| 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% |
API Access
Barclays Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();