Toronto Dominion Bank (TD) EBITDA Margin (2009 - 2026)
Toronto Dominion Bank's EBITDA Margin was 40.26% in fiscal Q4 2017 (quarter ended Oct 31, 2017), down 7.51 percentage points from 47.76% a year earlier.
Toronto Dominion Bank (TD) EBITDA Margin (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Toronto Dominion Bank's EBITDA Margin was 113.89% through Oct 31, 2017, down 12.54 percentage points year-over-year; for FY2010 (ended Oct 31, 2010), it came in at 36.67%.
- The fiscal Q4 2017 figure marks the lowest quarterly EBITDA Margin since fiscal Q4 2012.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | Toronto Dominion Bank | 209.28 Bn | -466.60 Bn | - | 9.75% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 9.75% |
| Apr 30, 2026 | 9.38% |
| Jan 31, 2026 | 12.33% |
| Oct 31, 2025 | 12.20% |
| Jul 31, 2025 | 9.90% |
| Apr 30, 2025 | 6.65% |
| Jan 31, 2025 | 13.08% |
| Oct 31, 2024 | 8.89% |
| Jul 31, 2024 | 11.40% |
| Apr 30, 2024 | 8.94% |
| Jan 31, 2024 | 10.38% |
| Oct 31, 2023 | 9.52% |
| Jul 31, 2023 | 9.26% |
| Apr 30, 2023 | 6.20% |
| Jan 31, 2023 | 9.09% |
| Oct 31, 2022 | 1.57% |
| Jul 31, 2022 | 2.73% |
| Apr 30, 2022 | 3.71% |
| Jan 31, 2022 | 4.87% |
| Oct 31, 2021 | 4.23% |
Toronto Dominion Bank 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=TD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "ticker": "TD", "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=TD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();