Toronto Dominion Bank (TD) EBITDA Margin (2009 - 2017)
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.
Powered by 
Analysis
Toronto Dominion Bank (TD) EBITDA Margin (2009 - 2017) 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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 92.35% |
| 10 | Toronto Dominion Bank | 198.58 Bn | -473.92 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2017 | 40.26% |
| Oct 31, 2016 | 47.76% |
| Oct 31, 2015 | 41.23% |
| Oct 31, 2014 | 41.83% |
| Apr 30, 2014 | 45.61% |
| Oct 31, 2013 | 40.41% |
| Apr 30, 2013 | 41.33% |
| Oct 31, 2012 | 36.54% |
| Apr 30, 2012 | 46.68% |
| Oct 31, 2010 | 15.05% |
| Jul 31, 2010 | 13.71% |
| Oct 31, 2009 | 16.45% |
| Jul 31, 2009 | 16.71% |
| Apr 30, 2009 | 52.50% |
| Jan 31, 2009 | 67.17% |
API Access
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_KEYimport 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();