Eagle Bancorp Montana (EBMT) Accumulated Expenses (2009 - 2026)
Eagle Bancorp Montana's Accumulated Expenses came in at $50.48 million for Q4 2025, up 7.4% from $47.02 million a year earlier and up 18.2% from the prior quarter.
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Analysis
Eagle Bancorp Montana (EBMT) Accumulated Expenses (2009 - 2026) Analysis & Trends
Going back to Q4 2014, Eagle Bancorp Montana's Accumulated Expenses data covers 42 quarters.
- Accumulated Expenses has increased in each of the last four years, with a five-year compound annual growth rate of 15.8% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $47.02 million in FY2024 (+29.0%), $36.46 million in FY2023 (+37.8%), $26.46 million in FY2022 (+25.2%) and $21.13 million in FY2021 (-13.0%).
- The Q4 2025 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2014.
- Year-over-year, Accumulated Expenses has increased for 15 consecutive quarters, with growth averaging 14.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q1 2023 (growth of 62.2%), and the weakest in Q4 2021 (a decline of 13.0%).
- Business Quant data shows EBMT's Accumulated Expenses at $42.71 million (Q3 2025), $40.44 million (Q2 2025) and $36.74 million (Q1 2025) in the three quarters before Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | Eagle Bancorp Montana | 163.93 Mn | -6.59 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 46.50 Mn |
| Jun 30, 2026 | 41.63 Mn |
| Mar 31, 2026 | 41.67 Mn |
| Dec 31, 2025 | 50.48 Mn |
| Sep 30, 2025 | 42.71 Mn |
| Jun 30, 2025 | 40.44 Mn |
| Mar 31, 2025 | 36.74 Mn |
| Dec 31, 2024 | 47.02 Mn |
| Sep 30, 2024 | 38.59 Mn |
| Jun 30, 2024 | 35.80 Mn |
| Mar 31, 2024 | 34.95 Mn |
| Dec 31, 2023 | 36.46 Mn |
| Sep 30, 2023 | 31.60 Mn |
| Jun 30, 2023 | 32.00 Mn |
| Mar 31, 2023 | 30.77 Mn |
| Dec 31, 2022 | 26.46 Mn |
| Sep 30, 2022 | 23.75 Mn |
| Jun 30, 2022 | 22.33 Mn |
| Mar 31, 2022 | 18.97 Mn |
| Dec 31, 2021 | 21.13 Mn |
API Access
Eagle Bancorp Montana 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=EBMT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=EBMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();