Bank Of Montreal (BMO) Net Realized and Unrealized Gains (Losses) (2022 - 2025)
Bank Of Montreal's Net Realized and Unrealized Gains (Losses) came in at $6.72 billion for FY2025 (year ended Oct 31, 2025), up 15.6% from $5.81 billion in FY2024.
Bank Of Montreal (BMO) Net Realized and Unrealized Gains (Losses) (2022 - 2025) Analysis & Trends
Going back to FY2012, Bank Of Montreal's Net Realized and Unrealized Gains (Losses) data covers 14 fiscal years.
- Net Realized and Unrealized Gains (Losses) carries a five-year compound annual growth rate of 38.4% (FY2020 to FY2025).
- The FY2025 figure represents the highest annual Net Realized and Unrealized Gains (Losses) since FY2022.
- Per Business Quant, earlier fiscal years put Net Realized and Unrealized Gains (Losses) at $5.81 billion in FY2024 (+305.0%), $1.44 billion in FY2023 (-82.1%), $8.04 billion in FY2022 and -$473.97 million in FY2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Gains (Losses) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | - |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | - |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | - |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | - |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | - |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | - |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | - |
| 10 | Bank Of Montreal | 119.98 Bn | -658.38 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2025 | -8.23 Bn |
| Apr 30, 2025 | 1.71 Bn |
| Jul 31, 2024 | 2.05 Bn |
| Jul 31, 2023 | 1.97 Bn |
| Apr 30, 2023 | 1.37 Bn |
| Jul 31, 2022 | -819.51 Mn |
| Apr 30, 2022 | 3.87 Bn |
Bank Of Montreal Net Realized and Unrealized Gains (Losses) 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=net-realized-and-unrealized-gains-losses&ticker=BMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-realized-and-unrealized-gains-losses", "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=net-realized-and-unrealized-gains-losses&ticker=BMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();