Barclays (BCS) Return on Sales [ROS] (2010 - 2026)
Barclays (BCS) posted Return on Sales [ROS] of -145.78% for Q3 2026, down 174.76 percentage points from 28.98% a year earlier and down 184.79 percentage points from the prior quarter.
Powered by 
Analysis
Barclays (BCS) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Return on Sales [ROS] at Barclays was -9.15%, down 39.94 percentage points year-over-year; for FY2025, it came in at 105.79%, down 19.26 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -92.85 percentage points (FY2020 to FY2025).
- In prior years, Barclays' Return on Sales [ROS] was 125.05% in FY2024 (+11.08 pp), 113.97% in FY2023 (+51.72 pp), 62.25% in FY2022 (-40.72 pp) and 102.98% in FY2021 (-95.66 pp).
- The Q3 2026 figure stands as the lowest quarterly Return on Sales [ROS] in data going back to Q4 2012.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of -18.19 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 Q3 2026, with a drop of 174.76 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 39.00% (Q2 2026), 34.47% (Q1 2026) and 26.27% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 896.53 Bn | 896.53 Bn | - | 91.99% |
| 2 | Bank Of America | 354.20 Bn | -2,021.91 Bn | - | 89.38% |
| 3 | Hsbc Holdings | 303.54 Bn | -1,800.05 Bn | - | 48.15% |
| 4 | Royal Bank Of Canada | 283.29 Bn | -546.75 Bn | - | 138.04% |
| 5 | Morgan Stanley | 281.19 Bn | -262.84 Bn | - | 95.47% |
| 6 | Goldman Sachs | 256.26 Bn | -3,487.19 Bn | - | 139.33% |
| 7 | Wells Fargo & Company | 253.33 Bn | 253.33 Bn | - | 84.54% |
| 8 | Mitsubishi Ufj Financial | 238.77 Bn | -102.62 Bn | 10.89 Bn | 51.45% |
| 9 | American Express | 216.03 Bn | 15.51 Bn | - | 32.15% |
| 10 | Barclays | 78.94 Bn | -1,629.98 Bn | - | -145.78% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -145.78% |
| Jun 30, 2026 | 174.17% |
| Mar 31, 2026 | 16.33% |
| Dec 31, 2025 | 309.86% |
| Sep 30, 2025 | -105.30% |
| 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% |
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();