Bank First (BFC) Return on Sales [ROS] (2017 - 2026)
Bank First (BFC) reported Return on Sales [ROS] of 78.91% for Q2 2026, down 13.68 percentage points from 92.59% a year earlier but up 8.20 percentage points from the prior quarter.
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Analysis
Bank First (BFC) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Bank First's Return on Sales [ROS] came in at 80.52%, down 14.88 percentage points year-over-year; for FY2025, it was 91.00%, down 3.06 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +30.71 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 94.06% in FY2024 (+16.91 pp), 77.14% in FY2023 (+18.91 pp), 58.23% in FY2022 (-1.86 pp) and 60.10% in FY2021 (-0.19 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 51.77% in Q3 2022 and a high of 99.77% in Q4 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last five quarters, with an average year-over-year change of -2.33 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 31.15 percentage points); the low point was Q1 2026 (a drop of 23.50 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 70.72% (Q1 2026), 87.66% (Q4 2025) and 89.75% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Bank First | 1.66 Bn | 621.80 Mn | - | 78.91% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.91% |
| Mar 31, 2026 | 70.72% |
| Dec 31, 2025 | 87.66% |
| Sep 30, 2025 | 89.75% |
| Jun 30, 2025 | 92.59% |
| Mar 31, 2025 | 94.22% |
| Dec 31, 2024 | 99.77% |
| Sep 30, 2024 | 95.22% |
| Jun 30, 2024 | 93.01% |
| Mar 31, 2024 | 87.81% |
| Dec 31, 2023 | 81.94% |
| Sep 30, 2023 | 82.92% |
| Jun 30, 2023 | 78.65% |
| Mar 31, 2023 | 60.14% |
| Dec 31, 2022 | 63.43% |
| Sep 30, 2022 | 51.77% |
| Jun 30, 2022 | 60.80% |
| Mar 31, 2022 | 56.40% |
| Dec 31, 2021 | 57.49% |
| Sep 30, 2021 | 60.11% |
API Access
Bank First 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=BFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BFC", "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=BFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();