Bank Of Montreal (BMO) Amortizatization of Intangibles (2009 - 2026)
Bank Of Montreal (BMO) posted Amortizatization of Intangibles of $215.93 million for fiscal Q2 2026 (quarter ended Apr 30, 2026), up 3.8% from $208.01 million a year earlier and up 1.9% from the prior quarter.
Bank Of Montreal (BMO) Amortizatization of Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Apr 30, 2026, Amortizatization of Intangibles at Bank Of Montreal was $843.4 million, up 3.1% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $822.83 million, up 0.7% from FY2024.
- Annual Amortizatization of Intangibles has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 12.3% (FY2020 to FY2025).
- In prior fiscal years, Bank Of Montreal's Amortizatization of Intangibles was $817.24 million in FY2024 (+9.3%), $747.6 million in FY2023 (+59.2%), $469.58 million in FY2022 (-6.9%) and $504.19 million in FY2021 (+9.3%).
- The fiscal Q2 2026 figure stands as the highest quarterly Amortizatization of Intangibles in data going back to fiscal Q4 2009.
- On a year-over-year basis, Amortizatization of Intangibles has increased in each of the last three quarters, with growth averaging 0.4% over the last seven quarters.
- The strongest year-over-year quarter for Amortizatization of Intangibles in the past five years was fiscal Q3 2023, with growth of 81.2%; the weakest was fiscal Q4 2022, with a decline of 9.4%.
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 | Bank Of Montreal | 234.90 Mn | 234.90 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 215.93 Mn |
| Jan 31, 2026 | 211.85 Mn |
| Oct 31, 2025 | 207.61 Mn |
| Apr 30, 2025 | 208.01 Mn |
| Jan 31, 2025 | 202.87 Mn |
| Oct 31, 2024 | 205.04 Mn |
| Jul 31, 2024 | 202.30 Mn |
| Apr 30, 2024 | 203.56 Mn |
| Jan 31, 2024 | 206.38 Mn |
| Oct 31, 2023 | 209.45 Mn |
| Jul 31, 2023 | 212.77 Mn |
| Apr 30, 2023 | 205.46 Mn |
| Jan 31, 2023 | 120.11 Mn |
| Oct 31, 2022 | 117.45 Mn |
| Jul 31, 2022 | 117.41 Mn |
| Apr 30, 2022 | 116.06 Mn |
| Jan 31, 2022 | 118.51 Mn |
| Oct 31, 2021 | 129.66 Mn |
| Jul 31, 2021 | 127.80 Mn |
| Apr 30, 2021 | 125.50 Mn |
Bank Of Montreal 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=BMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "BMO", "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=BMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();