Bank Of Montreal /Can/ (BMO) Compensation (2009 - 2026)
Analysis
Bank Of Montreal /Can/ (BMO) Compensation (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.27 Bn |
| Apr 30, 2026 | 2.25 Bn |
| Jan 31, 2026 | 2.56 Bn |
| Oct 31, 2025 | 2.15 Bn |
| Jul 31, 2025 | 2.15 Bn |
| Apr 30, 2025 | 2.00 Bn |
| Jan 31, 2025 | 2.28 Bn |
| Oct 31, 2024 | 1.97 Bn |
| Jul 31, 2024 | 1.96 Bn |
| Apr 30, 2024 | 1.93 Bn |
| Jan 31, 2024 | 2.12 Bn |
| Oct 31, 2023 | 2.14 Bn |
| Jul 31, 2023 | 2.29 Bn |
| Apr 30, 2023 | 2.19 Bn |
| Jan 31, 2023 | 1.89 Bn |
| Oct 31, 2022 | 1.71 Bn |
| Jul 31, 2022 | 1.66 Bn |
| Apr 30, 2022 | 1.65 Bn |
| Jan 31, 2022 | 1.82 Bn |
| Oct 31, 2021 | 1.64 Bn |
API Access
Bank Of Montreal /Can/ Compensation 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=compensation&ticker=BMO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "compensation", "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=compensation&ticker=BMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();