Steele Bancorp (STLE) Return on Sales [ROS] (2024 - 2026)
Steele Bancorp's Return on Sales [ROS] was 814.23% in Q2 2026, down 386.25 percentage points from 1200.49% a year earlier.
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Analysis
Steele Bancorp (STLE) Return on Sales [ROS] (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Steele Bancorp's Return on Sales [ROS] was 1061.00% through Jun 30, 2026, down 87.90 percentage points year-over-year; for FY2025, it was 1183.35%, up 199.39 percentage points from FY2024.
- In earlier years, Return on Sales [ROS] was 983.96% in FY2024.
- Quarterly Return on Sales [ROS] has moved between 662.43% (Q4 2025) and 2142.17% (Q3 2025) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last five quarters, with an average year-over-year change of +123.66 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | Steele Bancorp | 159.05 Mn | 165.62 Mn | - | 814.23% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 814.23% |
| Dec 31, 2025 | 662.43% |
| Sep 30, 2025 | 2,142.17% |
| Jun 30, 2025 | 1,200.49% |
| Mar 31, 2025 | 1,556.05% |
| Dec 31, 2024 | 827.98% |
| Sep 30, 2024 | 1,083.38% |
| Jun 30, 2024 | 1,280.19% |
| Mar 31, 2024 | 1,365.03% |
API Access
Steele 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=STLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "STLE", "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=STLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();