MainStreet Bancshares (MNSB) Interest Expense - Fed Funds (2023 - 2026)
MainStreet Bancshares (MNSB) posted Interest Expense - Fed Funds of $84,000 for Q2 2026, up 236.0% from the prior quarter.
MainStreet Bancshares (MNSB) Interest Expense - Fed Funds (2023 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expense - Fed Funds at MainStreet Bancshares was $137,000, down 59.9% year-over-year; for FY2025, it was $93,000, down 83.8% from FY2024.
- In prior years, MainStreet Bancshares' Interest Expense - Fed Funds was $575,000 in FY2024 (+92.3%) and $299,000 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Interest Expense - Fed Funds since Q3 2024.
- On a year-over-year basis, Interest Expense - Fed Funds increased in 1 of the last four quarters, with growth averaging 125.2%.
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 | MainStreet Bancshares | 176.09 Mn | 176.09 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 84,000.00 |
| Mar 31, 2026 | 25,000.00 |
| Sep 30, 2025 | 28,000.00 |
| Mar 31, 2025 | 65,000.00 |
| Sep 30, 2024 | 277,000.00 |
| Jun 30, 2024 | 191,000.00 |
| Mar 31, 2024 | 107,000.00 |
| Dec 31, 2023 | 25,000.00 |
| Sep 30, 2023 | 35,000.00 |
| Jun 30, 2023 | 201,000.00 |
| Mar 31, 2023 | 38,000.00 |
MainStreet Bancshares Interest Expense - Fed Funds 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-fed-funds&ticker=MNSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "ticker": "MNSB", "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-fed-funds&ticker=MNSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();