Bank Of Montreal /Can/ (BRZL) Operating Expenses (2009 - 2026)
Bank Of Montreal's Operating Expenses came in at $3.85 billion for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 6.4% from $3.62 billion a year earlier.
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Analysis
Bank Of Montreal /Can/ (BRZL) Operating Expenses (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Bank Of Montreal reported Operating Expenses of $15.89 billion, up 11.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $15.08 billion, up 5.2% from FY2024.
- Going back by fiscal year, Operating Expenses was $14.33 billion in FY2024 (-8.6%), $15.67 billion in FY2023 (+24.5%), $12.59 billion in FY2022 (+2.1%) and $12.33 billion in FY2021.
- The five-year range for quarterly Operating Expenses is $2.93 billion (fiscal Q2 2022) to $4.19 billion (fiscal Q4 2023).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 2.9% over the last seven quarters.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q3 2023 (growth of 39.1%), and the weakest in fiscal Q4 2024 (a decline of 22.6%).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.85 Bn |
| Apr 30, 2026 | 3.89 Bn |
| Jan 31, 2026 | 4.15 Bn |
| Oct 31, 2025 | 4.01 Bn |
| Jun 30, 2025 | 3.62 Bn |
| Apr 30, 2025 | 3.53 Bn |
| Jan 31, 2025 | 3.82 Bn |
| Oct 31, 2024 | 3.24 Bn |
| Jul 31, 2024 | 3.53 Bn |
| Apr 30, 2024 | 3.57 Bn |
| Jan 31, 2024 | 3.99 Bn |
| Oct 31, 2023 | 4.19 Bn |
| Jul 31, 2023 | 4.17 Bn |
| Apr 30, 2023 | 4.07 Bn |
| Jan 31, 2023 | 3.25 Bn |
| Oct 31, 2022 | 3.60 Bn |
| Jul 31, 2022 | 3.00 Bn |
| Apr 30, 2022 | 2.93 Bn |
| Jan 31, 2022 | 3.04 Bn |
| Oct 31, 2021 | 3.03 Bn |
API Access
Bank Of Montreal /Can/ Operating 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=operating-expenses&ticker=BRZL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BRZL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=BRZL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();