Richmond Mutual Bancorporation (RMBI) Operating Expenses (2018 - 2026)
Richmond Mutual Bancorporation's Operating Expenses came in at $10.17 million for Q2 2026, up 25.4% from $8.11 million a year earlier and up 16.8% from the prior quarter.
Richmond Mutual Bancorporation (RMBI) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Richmond Mutual Bancorporation reported Operating Expenses of $35.49 million, up 9.5% year-over-year; for FY2025, it came in at $33.1 million, up 3.3% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $32.05 million in FY2024 (+4.3%), $30.74 million in FY2023 (+1.9%), $30.16 million in FY2022 (+5.3%) and $28.65 million in FY2021 (+19.3%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses since Q4 2019.
- Year-over-year, Operating Expenses has increased for six consecutive quarters, with growth averaging 5.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2026 (growth of 25.4%), and the weakest in Q4 2024 (a decline of 1.3%).
- Business Quant data shows RMBI's Operating Expenses at $8.7 million (Q1 2026), $8.54 million (Q4 2025) and $8.08 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 27.30 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 19.72 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 13.71 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 7.02 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 11.31 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 13.74 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Richmond Mutual Bancorporation | 166.88 Mn | 29.97 Mn | - | 10.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.17 Mn |
| Mar 31, 2026 | 8.70 Mn |
| Dec 31, 2025 | 8.54 Mn |
| Sep 30, 2025 | 8.08 Mn |
| Jun 30, 2025 | 8.11 Mn |
| Mar 31, 2025 | 8.37 Mn |
| Dec 31, 2024 | 7.93 Mn |
| Sep 30, 2024 | 8.02 Mn |
| Jun 30, 2024 | 8.05 Mn |
| Mar 31, 2024 | 8.06 Mn |
| Dec 31, 2023 | 8.03 Mn |
| Sep 30, 2023 | 8.01 Mn |
| Jun 30, 2023 | 7.34 Mn |
| Mar 31, 2023 | 7.36 Mn |
| Dec 31, 2022 | 7.94 Mn |
| Sep 30, 2022 | 7.72 Mn |
| Jun 30, 2022 | 7.16 Mn |
| Mar 31, 2022 | 7.33 Mn |
| Dec 31, 2021 | 7.95 Mn |
| Sep 30, 2021 | 6.84 Mn |
Richmond Mutual Bancorporation Operating 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=operating-expenses&ticker=RMBI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RMBI", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=RMBI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();