Southern Missouri Bancorp (SMBC) Accumulated Expenses (2016 - 2026)
Southern Missouri Bancorp (SMBC) recorded Accumulated Expenses of $919,000 in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 142.5% from $379,000 a year earlier.
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Analysis
Southern Missouri Bancorp (SMBC) Accumulated Expenses (2016 - 2026) Analysis & Trends
Starting with fiscal Q4 2016, Southern Missouri Bancorp's Accumulated Expenses history includes 10 quarters.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 17.7% (FY2021 to FY2026).
- Across earlier fiscal years, Accumulated Expenses came in at $379,000 in FY2025 (-8.5%), $414,000 in FY2024 (-41.2%), $704,000 in FY2023 (+86.7%) and $377,000 in FY2022 (-7.4%).
- The fiscal Q4 2026 figure is the highest quarterly Accumulated Expenses since fiscal Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 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 | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Southern Missouri Bancorp | 780.84 Mn | 338.67 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 919,000.00 |
| Jun 30, 2025 | 379,000.00 |
| Jun 30, 2024 | 414,000.00 |
| Jun 30, 2023 | 704,000.00 |
| Jun 30, 2022 | 377,000.00 |
| Jun 30, 2021 | 407,000.00 |
| Jun 30, 2020 | 511,000.00 |
| Jun 30, 2018 | 4.04 Mn |
| Jun 30, 2017 | 4.12 Mn |
| Jun 30, 2016 | 848,000.00 |
API Access
Southern Missouri Bancorp Accumulated Expenses 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=accumulated-expenses&ticker=SMBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "SMBC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=SMBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();