Bank Of Montreal (BMO) Cash & Equivalents (2009 - 2025)
Bank Of Montreal's Cash & Equivalents came in at $52.88 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), up 24.8% from $42.38 billion a year earlier and up 13.3% from the prior quarter.
Bank Of Montreal (BMO) Cash & Equivalents (2009 - 2025) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Bank Of Montreal's Cash & Equivalents was $48.27 billion, up 3.1% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of 2.3% (FY2020 to FY2025).
- Going back by fiscal year, Cash & Equivalents was $46.81 billion in FY2024 (-16.9%), $56.36 billion in FY2023 (-12.3%), $64.27 billion in FY2022 (-14.9%) and $75.54 billion in FY2021 (+75.2%).
- The fiscal Q3 2026 figure represents the highest quarterly Cash & Equivalents since fiscal Q3 2024.
- Year-over-year, Cash & Equivalents increased in two of the last eight quarters, with an average decline of 5.2%.
- The fastest year-over-year change in Cash & Equivalents over five years came in fiscal Q1 2023 (growth of 96.6%), and the weakest in fiscal Q2 2022 (a decline of 31.7%).
- Business Quant data shows BMO's Cash & Equivalents at $46.68 billion (Q2 2026), $49.94 billion (Q1 2026) and $48.27 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | 2.20 Bn |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 249.64 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 222.46 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 138.67 Bn |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 45.78 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 176.77 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 | Bank Of Montreal | 122.47 Bn | 122.47 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2025 | 48.27 Bn |
| Jul 31, 2025 | 42.38 Bn |
| Apr 30, 2025 | 47.27 Bn |
| Oct 31, 2024 | 46.81 Bn |
| Jul 31, 2024 | 53.98 Bn |
| Apr 30, 2024 | 58.44 Bn |
| Oct 31, 2023 | 56.36 Bn |
| Jul 31, 2023 | 61.33 Bn |
| Apr 30, 2023 | 50.37 Bn |
| Jan 31, 2023 | 77.21 Bn |
| Oct 31, 2022 | 64.27 Bn |
| Jul 31, 2022 | 54.33 Bn |
| Apr 30, 2022 | 54.89 Bn |
| Jan 31, 2022 | 39.28 Bn |
| Oct 31, 2021 | 75.54 Bn |
| Jul 31, 2021 | 67.33 Bn |
| Apr 30, 2021 | 80.31 Bn |
| Jan 31, 2021 | 56.96 Bn |
| Oct 31, 2020 | 43.11 Bn |
| Jul 31, 2020 | 57.10 Bn |
Bank Of Montreal Cash & Equivalents 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=cash-and-equivalents&ticker=BMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=BMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();