Eagle Bancorp Montana (EBMT) Operating Expenses (2010 - 2025)
Eagle Bancorp Montana (EBMT) reported Operating Expenses of $18.39 million for Q3 2025, up 6.5% from $17.27 million a year earlier and up 2.6% from the prior quarter.
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Analysis
Eagle Bancorp Montana (EBMT) Operating Expenses (2010 - 2025) Analysis & Trends
Over the twelve months ended Sep 30, 2025, Eagle Bancorp Montana's Operating Expenses came in at $71.02 million, up 0.7% year-over-year; for FY2024, it came in at $69.31 million, down 3.9% from FY2023.
- Operating Expenses has a five-year compound annual growth rate of 8.5% (FY2019 to FY2024).
- By year, Operating Expenses came in at $72.09 million in FY2023 (-2.2%), $73.68 million in FY2022 (+1.5%), $72.58 million in FY2021 (+19.6%) and $60.67 million in FY2020 (+31.8%).
- The Q3 2025 figure ranks as the highest quarterly Operating Expenses since Q4 2023.
- Year over year, Operating Expenses gained in four of the last eight quarters, with an average decline of 0.1%.
- The high point for year-over-year Operating Expenses in five years was Q1 2021 (growth of 34.0%); the low point was Q3 2023 (a decline of 8.3%).
- Per Business Quant data, the three quarters before Q3 2025 came in at $17.93 million (Q2 2025), $17.01 million (Q1 2025) and $17.7 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 13.66 Bn |
| 10 | Eagle Bancorp Montana | 168.75 Mn | 26.54 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 18.39 Mn |
| Jun 30, 2025 | 17.93 Mn |
| Mar 31, 2025 | 17.01 Mn |
| Dec 31, 2024 | 17.70 Mn |
| Sep 30, 2024 | 17.27 Mn |
| Jun 30, 2024 | 17.31 Mn |
| Mar 31, 2024 | 17.03 Mn |
| Dec 31, 2023 | 18.89 Mn |
| Sep 30, 2023 | 17.88 Mn |
| Jun 30, 2023 | 18.79 Mn |
| Mar 31, 2023 | 16.53 Mn |
| Dec 31, 2022 | 18.16 Mn |
| Sep 30, 2022 | 19.49 Mn |
| Jun 30, 2022 | 20.05 Mn |
| Mar 31, 2022 | 16.62 Mn |
| Dec 31, 2021 | 17.53 Mn |
| Sep 30, 2021 | 18.80 Mn |
| Jun 30, 2021 | 19.04 Mn |
| Mar 31, 2021 | 17.21 Mn |
| Dec 31, 2020 | 16.34 Mn |
API Access
Eagle Bancorp Montana 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=EBMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "EBMT", "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=EBMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();