Steele Bancorp (STLE) Net Margin (2024 - 2026)
Steele Bancorp's Net Margin was 377.93% in Q2 2026, down 63.82 percentage points from 441.75% a year earlier.
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Analysis
Steele Bancorp (STLE) Net Margin (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Steele Bancorp's Net Margin was 617.71% through Jun 30, 2026, up 255.11 percentage points year-over-year; for FY2025, it came in at 698.02%, up 408.17 percentage points from FY2024.
- In earlier years, Net Margin was 289.84% in FY2024.
- Quarterly Net Margin has moved between 109.07% (Q4 2024) and 1597.78% (Q3 2025) over five years.
- Compared with a year earlier, Net Margin was higher in four of the last five quarters, with an average year-over-year change of +305.48 percentage points.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 36.19% |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 27.72% |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 25.46% |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 32.50% |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 31.46% |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 27.23% |
| 10 | Steele Bancorp | 159.05 Mn | 165.62 Mn | - | 377.93% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 377.93% |
| Dec 31, 2025 | 347.98% |
| Sep 30, 2025 | 1,597.78% |
| Jun 30, 2025 | 441.75% |
| Mar 31, 2025 | 575.16% |
| Dec 31, 2024 | 109.07% |
| Sep 30, 2024 | 358.70% |
| Jun 30, 2024 | 429.55% |
| Mar 31, 2024 | 474.13% |
API Access
Steele Bancorp Net Margin 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=net-margin&ticker=STLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=STLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();