Bank Of Montreal (BMO) Acquisitions (2009 - 2026)
Bank Of Montreal's Acquisitions came in at -$34.59 million for fiscal Q1 2026 (quarter ended Jan 31, 2026).
Analysis
Bank Of Montreal (BMO) Acquisitions (2009 - 2026) Analysis & Trends
For FY2023 (ended Oct 31, 2023), Bank Of Montreal's Acquisitions was -$11.2 billion.
- Going back by fiscal year, Acquisitions was -$138.36 million in FY2020 and -$225.09 million in FY2019.
- The fiscal Q1 2026 figure represents the highest quarterly Acquisitions since fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 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 | - | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | - |
| 10 | Bank Of Montreal | 242.70 Mn | 242.70 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | -34.59 Mn |
| Oct 31, 2023 | 3.69 Mn |
| Jul 31, 2023 | -116.13 Mn |
| Apr 30, 2023 | -11.02 Bn |
| Apr 30, 2020 | -135.37 Mn |
| Oct 31, 2016 | -52.67 Mn |
| Jan 31, 2016 | -8.81 Bn |
| Jul 31, 2014 | -883.80 Mn |
| Apr 30, 2013 | -256.74 Mn |
| Jan 31, 2013 | 403.87 Mn |
| Oct 31, 2012 | -1.01 Mn |
| Jul 31, 2011 | 816.29 Mn |
| Apr 30, 2011 | -88.22 Mn |
| Jan 31, 2011 | -19.90 Mn |
| Jul 31, 2010 | -102.81 Mn |
| Apr 30, 2010 | -23.38 Mn |
| Oct 31, 2009 | -11.18 Mn |
| Apr 30, 2009 | -249.36 Mn |
| Jan 31, 2009 | -4.90 Mn |
API Access
Bank Of Montreal Acquisitions 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=acquisitions&ticker=BMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "acquisitions", "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=acquisitions&ticker=BMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();