Steele Bancorp (STLE) Interest Expense - Debt (2024 - 2026)
Steele Bancorp (STLE) reported Interest Expense - Debt of $42,000 for Q2 2026, down 88.9% from $378,000 a year earlier.
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Analysis
Steele Bancorp (STLE) Interest Expense - Debt (2024 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Steele Bancorp's Interest Expense - Debt came in at $750,000, down 36.0% year-over-year; for FY2025, it came in at $1.15 million, up 62.4% from FY2024.
- By year, Interest Expense - Debt came in at $708,000 in FY2024.
- The Q2 2026 figure ranks as the lowest quarterly Interest Expense - Debt in data going back to Q1 2024.
- Year over year, Interest Expense - Debt gained in three of the last five quarters, with growth averaging 35.4%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Interest Expense - Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4.47 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3.10 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 3.41 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 2.62 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 2.39 Bn |
| 10 | Steele Bancorp | 159.05 Mn | 165.62 Mn | - | 42,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42,000.00 |
| Dec 31, 2025 | 72,000.00 |
| Sep 30, 2025 | 258,000.00 |
| Jun 30, 2025 | 378,000.00 |
| Mar 31, 2025 | 442,000.00 |
| Dec 31, 2024 | 197,000.00 |
| Sep 30, 2024 | 155,000.00 |
| Jun 30, 2024 | 185,000.00 |
| Mar 31, 2024 | 171,000.00 |
API Access
Steele Bancorp Interest Expense - Debt 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=interest-expense-debt&ticker=STLE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-debt", "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=interest-expense-debt&ticker=STLE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();