Bank Of Montreal /Can/ (BMO) Fee Income (2009 - 2026)
Analysis
Bank Of Montreal /Can/ (BMO) Fee Income (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 233.09 Mn |
| Apr 30, 2026 | 235.63 Mn |
| Jan 31, 2026 | 227.70 Mn |
| Oct 31, 2025 | 230.68 Mn |
| Jul 31, 2025 | 208.15 Mn |
| Apr 30, 2025 | 193.25 Mn |
| Jan 31, 2025 | 202.87 Mn |
| Oct 31, 2024 | 210.90 Mn |
| Jul 31, 2024 | 203.03 Mn |
| Apr 30, 2024 | 199.87 Mn |
| Jan 31, 2024 | 198.99 Mn |
| Oct 31, 2023 | 185.11 Mn |
| Jul 31, 2023 | 189.55 Mn |
| Apr 30, 2023 | 190.67 Mn |
| Jan 31, 2023 | 194.99 Mn |
| Oct 31, 2022 | 193.49 Mn |
| Jul 31, 2022 | 203.71 Mn |
| Apr 30, 2022 | 221.86 Mn |
| Jan 31, 2022 | 222.80 Mn |
| Oct 31, 2021 | 205.22 Mn |
API Access
Bank Of Montreal /Can/ Fee Income 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=fee-income&ticker=BMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fee-income", "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=fee-income&ticker=BMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();