Eagle Bancorp Montana (EBMT) Change in Accured Expenses (2010 - 2025)
Eagle Bancorp Montana (EBMT) posted Change in Accured Expenses of $2.28 million for Q3 2025, down 40.2% from $3.82 million a year earlier and down 39.0% from the prior quarter.
Eagle Bancorp Montana (EBMT) Change in Accured Expenses (2010 - 2025) Analysis & Trends
For the trailing twelve months through Sep 30, 2025, Change in Accured Expenses at Eagle Bancorp Montana was $3.86 million, down 67.5% year-over-year; for FY2024, it came in at $14.06 million, up 102.8% from FY2023.
- Annual Change in Accured Expenses shows a five-year compound annual growth rate of 94.6% (FY2019 to FY2024).
- In prior years, Eagle Bancorp Montana's Change in Accured Expenses was $6.93 million in FY2023 (+94.5%), $3.56 million in FY2022, -$1.14 million in FY2021 and $6.52 million in FY2020.
- Quarterly Change in Accured Expenses has run from a low of -$10.46 million in Q1 2025 to a high of $8.29 million in Q4 2024 over five years.
- On a year-over-year basis, Change in Accured Expenses increased in five of the last six quarters, with growth averaging 54.9%.
- The strongest year-over-year quarter for Change in Accured Expenses in the past five years was Q2 2022, with growth of 345.0%; the weakest was Q2 2021, with a decline of 88.5%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was $3.74 million (Q2 2025), -$10.46 million (Q1 2025) and $8.29 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 22.64 Bn |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 27.13 Bn |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | - |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | - |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 14.35 Bn |
| 10 | Eagle Bancorp Montana | 169.22 Mn | 27.01 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 2.28 Mn |
| Jun 30, 2025 | 3.74 Mn |
| Mar 31, 2025 | -10.46 Mn |
| Dec 31, 2024 | 8.29 Mn |
| Sep 30, 2024 | 3.82 Mn |
| Jun 30, 2024 | 3.41 Mn |
| Mar 31, 2024 | -1.46 Mn |
| Dec 31, 2023 | 6.08 Mn |
| Sep 30, 2023 | 1.51 Mn |
| Jun 30, 2023 | 2.38 Mn |
| Mar 31, 2023 | -3.04 Mn |
| Dec 31, 2022 | 2.67 Mn |
| Sep 30, 2022 | 1.33 Mn |
| Jun 30, 2022 | 1.73 Mn |
| Mar 31, 2022 | -2.17 Mn |
| Dec 31, 2021 | -708,000.00 |
| Sep 30, 2021 | -204,000.00 |
| Jun 30, 2021 | 389,000.00 |
| Mar 31, 2021 | -614,000.00 |
| Dec 31, 2020 | 2.59 Mn |
Eagle Bancorp Montana Change in Accured 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=change-in-accured-expenses&ticker=EBMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=EBMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();