Bank Of Montreal (BMO) Cash from Operations (2009 - 2026)
Bank Of Montreal (BMO) posted Cash from Operations of $6.66 billion for fiscal Q2 2026 (quarter ended Apr 30, 2026), compared with -$2.24 billion a year earlier and up 413.2% from the prior quarter.
Bank Of Montreal (BMO) Cash from Operations (2009 - 2026) Analysis & Trends
For the trailing twelve months through Apr 30, 2026, Cash from Operations at Bank Of Montreal was $14.91 billion, up 143.9% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $7.31 billion, down 62.7% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of -28.0% (FY2020 to FY2025).
- In prior fiscal years, Bank Of Montreal's Cash from Operations was $19.62 billion in FY2024 (+175.9%), $7.11 billion in FY2023 (+84.6%), $3.85 billion in FY2022 (-89.0%) and $35.03 billion in FY2021 (-7.4%).
- Quarterly Cash from Operations has run from a low of -$18.58 billion in fiscal Q1 2022 to a high of $14.7 billion in fiscal Q1 2023 over five years.
- On a year-over-year basis, Cash from Operations increased in two of the last five quarters, with an average decline of 3.3%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was fiscal Q4 2025, with growth of 167.0%; the weakest was fiscal Q3 2024, with a decline of 81.5%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 25.17 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 6.78 Bn |
| 10 | Bank Of Montreal | 242.70 Mn | 242.70 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2026 | 6.66 Bn |
| Jan 31, 2026 | 1.30 Bn |
| Oct 31, 2025 | 9.20 Bn |
| Apr 30, 2025 | -2.24 Bn |
| Jan 31, 2025 | 3.43 Bn |
| Oct 31, 2024 | 3.45 Bn |
| Jul 31, 2024 | 1.48 Bn |
| Apr 30, 2024 | 2.94 Bn |
| Jan 31, 2024 | 11.82 Bn |
| Oct 31, 2023 | 2.63 Bn |
| Jul 31, 2023 | 8.00 Bn |
| Apr 30, 2023 | -18.09 Bn |
| Jan 31, 2023 | 14.70 Bn |
| Oct 31, 2022 | 13.45 Bn |
| Jul 31, 2022 | -1.53 Bn |
| Apr 30, 2022 | 9.93 Bn |
| Jan 31, 2022 | -18.58 Bn |
| Oct 31, 2021 | 8.30 Bn |
| Jul 31, 2021 | -8.56 Bn |
| Apr 30, 2021 | 19.28 Bn |
Bank Of Montreal Cash from Operations 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-from-operations&ticker=BMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=BMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();