Bancorp (TBBK) Return on Sales [ROS] (2009 - 2026)
Bancorp (TBBK) posted Return on Sales [ROS] of 149.81% for Q2 2026, up 80.67 percentage points from 69.14% a year earlier and up 75.62 percentage points from the prior quarter.
Powered by 
Analysis
Bancorp (TBBK) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Bancorp was 80.04%, up 4.58 percentage points year-over-year; for FY2025, it was 68.04%, down 19.55 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +23.60 percentage points (FY2020 to FY2025).
- In prior years, Bancorp's Return on Sales [ROS] was 87.59% in FY2024 (-0.85 pp), 88.43% in FY2023 (+21.48 pp), 66.95% in FY2022 (+17.72 pp) and 49.24% in FY2021 (+4.80 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Sales [ROS] in data going back to Q2 2010.
- On a year-over-year basis, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -0.65 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2026, with a gain of 80.67 percentage points; the weakest was Q3 2025, with a drop of 25.31 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was 74.18% (Q1 2026), 66.59% (Q4 2025) and 66.06% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Bancorp | 1.96 Bn | -4.85 Bn | - | 66.64% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 66.64% |
| Jun 30, 2026 | 149.81% |
| Mar 31, 2026 | 74.18% |
| Dec 31, 2025 | 66.59% |
| Sep 30, 2025 | 66.06% |
| Jun 30, 2025 | 69.14% |
| Mar 31, 2025 | 70.30% |
| Dec 31, 2024 | 75.75% |
| Sep 30, 2024 | 91.37% |
| Jun 30, 2024 | 92.62% |
| Mar 31, 2024 | 93.95% |
| Dec 31, 2023 | 83.21% |
| Sep 30, 2023 | 92.11% |
| Jun 30, 2023 | 90.38% |
| Mar 31, 2023 | 88.18% |
| Dec 31, 2022 | 84.29% |
| Sep 30, 2022 | 70.04% |
| Jun 30, 2022 | 58.37% |
| Mar 31, 2022 | 52.72% |
| Dec 31, 2021 | 86.20% |
API Access
Bancorp 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=TBBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "TBBK", "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=TBBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();