Bank Of Montreal /Can/ (BMO) Other Expenses (2009 - 2026)
Analysis
Bank Of Montreal /Can/ (BMO) Other Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -4.94 Bn |
| Apr 30, 2026 | -5.58 Bn |
| Jan 31, 2026 | -5.39 Bn |
| Oct 31, 2025 | -5.52 Bn |
| Jul 31, 2025 | -6.02 Bn |
| Apr 30, 2025 | 1.81 Bn |
| Jan 31, 2025 | -6.47 Bn |
| Oct 31, 2024 | -7.23 Bn |
| Jul 31, 2024 | 2.13 Bn |
| Apr 30, 2024 | -7.05 Bn |
| Jan 31, 2024 | -6.47 Bn |
| Oct 31, 2023 | -6.04 Bn |
| Jul 31, 2023 | 1.99 Bn |
| Apr 30, 2023 | 1.75 Bn |
| Jan 31, 2023 | -4.26 Bn |
| Oct 31, 2022 | -2.35 Bn |
| Jul 31, 2022 | -1.01 Bn |
| Apr 30, 2022 | -138.17 Mn |
| Jan 31, 2022 | 161.97 Mn |
| Oct 31, 2021 | -10.98 Bn |
API Access
Bank Of Montreal /Can/ Other Expenses 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=other-expenses&ticker=BMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-expenses", "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=other-expenses&ticker=BMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();