Eagle Bancorp Montana (EBMT) Amortizatization of Intangibles (2010 - 2025)
Eagle Bancorp Montana's Amortizatization of Intangibles came in at $288,000 for Q3 2025, down 14.5% from $337,000 a year earlier and down 3.4% from the prior quarter.
Eagle Bancorp Montana (EBMT) Amortizatization of Intangibles (2010 - 2025) Analysis & Trends
Over the trailing twelve months to Sep 30, 2025, Eagle Bancorp Montana reported Amortizatization of Intangibles of $1.43 million, up 0.2% year-over-year; for FY2024, it came in at $1.83 million, up 7.4% from FY2023.
- Amortizatization of Intangibles carries a five-year compound annual growth rate of 2.3% (FY2019 to FY2024).
- Going back by year, Amortizatization of Intangibles was $1.71 million in FY2023 (-19.5%), $2.12 million in FY2022 (-42.9%), $3.71 million in FY2021 (+5.4%) and $3.52 million in FY2020 (+115.0%).
- The Q3 2025 figure represents the lowest quarterly Amortizatization of Intangibles since Q3 2021.
- Year-over-year, Amortizatization of Intangibles has declined for three consecutive quarters, with an average decline of 5.8% over the last eight quarters.
- The fastest year-over-year change in Amortizatization of Intangibles over five years came in Q2 2022 (growth of 207.7%), and the weakest in Q4 2022 (a decline of 50.7%).
- Business Quant data shows EBMT's Amortizatization of Intangibles at $298,000 (Q2 2025), $365,000 (Q1 2025) and $482,000 (Q4 2024) in the three quarters before Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | - |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | - |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 287.60 Mn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | - |
| 10 | Eagle Bancorp Montana | 168.98 Mn | 26.77 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 288,000.00 |
| Jun 30, 2025 | 298,000.00 |
| Mar 31, 2025 | 365,000.00 |
| Dec 31, 2024 | 482,000.00 |
| Sep 30, 2024 | 337,000.00 |
| Jun 30, 2024 | 348,000.00 |
| Mar 31, 2024 | 369,000.00 |
| Dec 31, 2023 | 376,000.00 |
| Sep 30, 2023 | 386,000.00 |
| Jun 30, 2023 | 397,000.00 |
| Mar 31, 2023 | 418,000.00 |
| Dec 31, 2022 | 408,000.00 |
| Sep 30, 2022 | 333,000.00 |
| Jun 30, 2022 | 440,000.00 |
| Mar 31, 2022 | 609,000.00 |
| Dec 31, 2021 | 828,000.00 |
| Sep 30, 2021 | 144,000.00 |
| Jun 30, 2021 | 143,000.00 |
| Mar 31, 2021 | 994,000.00 |
| Dec 31, 2020 | 1.04 Mn |
Eagle Bancorp Montana Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=EBMT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=EBMT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();