Bank Of Montreal (BMO) EBITDA Margin (2010 - 2026)
Bank Of Montreal's EBITDA Margin was 82.48% in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 4.00 percentage points from 86.48% a year earlier and down 7.71 percentage points from the prior quarter.
Bank Of Montreal (BMO) EBITDA Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Bank Of Montreal's EBITDA Margin was 86.30% through Jul 31, 2026, down 0.23 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it came in at 86.19%, down 0.48 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +17.94 percentage points (FY2020 to FY2025).
- In earlier fiscal years, EBITDA Margin was 86.67% in FY2024 (+7.66 pp), 79.01% in FY2023 (-31.03 pp), 110.04% in FY2022 (+26.53 pp) and 83.52% in FY2021 (+15.26 pp).
- The fiscal Q3 2026 figure marks the lowest quarterly EBITDA Margin since fiscal Q3 2023.
- Compared with a year earlier, EBITDA Margin was higher in four of the last eight quarters, with an average year-over-year change of +0.22 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was fiscal Q2 2022 (a gain of 78.10 percentage points); the worst was fiscal Q2 2023 (a drop of 71.23 percentage points).
- Per Business Quant data, BMO's EBITDA Margin in the three fiscal quarters before Q3 2026 was 90.19% (Q2 2026), 86.66% (Q1 2026) and 86.00% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 139.87% |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Bank Of Montreal | 125.83 Bn | -71.94 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 82.48% |
| Apr 30, 2026 | 90.19% |
| Jan 31, 2026 | 86.66% |
| Oct 31, 2025 | 86.00% |
| Jul 31, 2025 | 86.48% |
| Apr 30, 2025 | 86.00% |
| Jan 31, 2025 | 86.30% |
| Oct 31, 2024 | 87.27% |
| Jul 31, 2024 | 87.94% |
| Apr 30, 2024 | 88.83% |
| Jan 31, 2024 | 82.48% |
| Oct 31, 2023 | 84.29% |
| Jul 31, 2023 | 82.33% |
| Apr 30, 2023 | 76.39% |
| Jan 31, 2023 | 70.63% |
| Oct 31, 2022 | 125.73% |
| Jul 31, 2022 | 66.91% |
| Apr 30, 2022 | 147.62% |
| Jan 31, 2022 | 101.04% |
| Oct 31, 2021 | 93.50% |
Bank Of Montreal EBITDA Margin 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=ebitda-margin&ticker=BMO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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=ebitda-margin&ticker=BMO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();