Bank Of America (BAC) Return on Sales [ROS] (2009 - 2026)
Bank Of America (BAC) recorded Return on Sales [ROS] of 89.38% in Q3 2026, down 15.79 percentage points from 105.17% a year earlier and down 3.79 percentage points from the prior quarter.
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Analysis
Bank Of America (BAC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Bank Of America's Return on Sales [ROS] came in at 93.48% as of Sep 30, 2026, down 12.37 percentage points year-over-year; for FY2025, it was 102.71%, down 14.21 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +70.89 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 116.92% in FY2024 (+13.91 pp), 103.01% in FY2023 (+49.22 pp), 53.79% in FY2022 (+10.34 pp) and 43.44% in FY2021 (+11.62 pp).
- The Q3 2026 figure is the lowest quarterly Return on Sales [ROS] since Q1 2023.
- On a year-over-year basis, Return on Sales [ROS] has declined for seven consecutive quarters, with an average year-over-year change of -11.71 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 62.57 percentage points in Q2 2023, against a drop of 16.54 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 93.16% (Q2 2026), 92.55% (Q1 2026) and 99.18% (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 920.14 Bn | 897.90 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 407.42 Bn | -7,109.68 Bn | - | - |
| 3 | Bank Of America | 353.20 Bn | -2,022.91 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 307.88 Bn | -2,967.28 Bn | - | 48.15% |
| 5 | Morgan Stanley | 298.41 Bn | -244.41 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.46 Bn | -546.54 Bn | - | 138.04% |
| 7 | Goldman Sachs | 264.45 Bn | -3,478.99 Bn | - | 139.33% |
| 8 | Mitsubishi Ufj Financial | 259.19 Bn | -159.36 Bn | 5.24 Bn | 70.61% |
| 9 | Wells Fargo & Company | 258.28 Bn | 93.72 Bn | - | 84.54% |
| 10 | American Express | 215.12 Bn | 14.60 Bn | - | 32.15% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 89.38% |
| Jun 30, 2026 | 93.16% |
| Mar 31, 2026 | 92.55% |
| Dec 31, 2025 | 99.18% |
| Sep 30, 2025 | 105.17% |
| Jun 30, 2025 | 105.20% |
| Mar 31, 2025 | 101.32% |
| Dec 31, 2024 | 111.53% |
| Sep 30, 2024 | 121.71% |
| Jun 30, 2024 | 121.02% |
| Mar 31, 2024 | 114.32% |
| Dec 31, 2023 | 110.89% |
| Sep 30, 2023 | 108.63% |
| Jun 30, 2023 | 104.10% |
| Mar 31, 2023 | 88.72% |
| Dec 31, 2022 | 74.56% |
| Sep 30, 2022 | 57.78% |
| Jun 30, 2022 | 41.53% |
| Mar 31, 2022 | 39.61% |
| Dec 31, 2021 | 40.63% |
API Access
Bank Of America 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=BAC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BAC", "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=BAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();