Toronto Dominion Bank (TD) Operating Expenses (2009 - 2026)
Toronto Dominion Bank (TD) reported Operating Expenses of $6.08 billion for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 2.0% from $6.2 billion a year earlier and down 0.5% from the prior quarter.
Toronto Dominion Bank (TD) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Toronto Dominion Bank's Operating Expenses came in at $24.84 billion, up 5.7% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $23.96 billion, down 8.2% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of 6.9% (FY2021 to FY2025).
- By fiscal year, Operating Expenses came in at $26.08 billion in FY2024 (+17.8%), $22.14 billion in FY2023 (+15.6%), $19.16 billion in FY2022 (+4.4%) and $18.35 billion in FY2021.
- The fiscal Q3 2026 figure ranks as the lowest quarterly Operating Expenses since fiscal Q2 2025.
- Year over year, Operating Expenses gained in four of the last eight quarters, with an average decline of 1.3%.
- The high point for year-over-year Operating Expenses in five years was fiscal Q3 2024 (growth of 45.9%); the low point was fiscal Q3 2025 (a decline of 22.9%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $6.11 billion (Q2 2026), $6.31 billion (Q1 2026) and $6.35 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 27.32 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -3,218.32 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 18.63 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.90 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 7.02 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 17.50 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 11.67 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 13.66 Bn |
| 10 | Toronto Dominion Bank | 198.58 Bn | -473.92 Bn | - | 6.08 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 6.08 Bn |
| Apr 30, 2026 | 6.11 Bn |
| Jan 31, 2026 | 6.31 Bn |
| Oct 31, 2025 | 6.35 Bn |
| Jul 31, 2025 | 6.20 Bn |
| Apr 30, 2025 | 5.72 Bn |
| Jan 31, 2025 | 5.68 Bn |
| Oct 31, 2024 | 5.89 Bn |
| Jul 31, 2024 | 8.04 Bn |
| Apr 30, 2024 | 6.20 Bn |
| Jan 31, 2024 | 5.94 Bn |
| Oct 31, 2023 | 5.81 Bn |
| Jul 31, 2023 | 5.51 Bn |
| Apr 30, 2023 | 4.99 Bn |
| Jan 31, 2023 | 6.01 Bn |
| Oct 31, 2022 | 4.93 Bn |
| Oct 31, 2021 | 4.73 Bn |
| Jul 31, 2021 | 4.57 Bn |
| Apr 30, 2021 | 4.55 Bn |
| Jan 31, 2021 | 4.50 Bn |
Toronto Dominion Bank 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=TD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=TD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();