Toronto Dominion Bank (TD) Total Liabilities (2009 - 2026)
Toronto Dominion Bank's Total Liabilities was $1.42 trillion in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 2.4% from $1.39 trillion a year earlier but down 0.5% from the prior quarter.
Toronto Dominion Bank (TD) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 31, 2025), Total Liabilities at Toronto Dominion Bank came in at $1.4 trillion, down 1.8% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of 97.8% (FY2020 to FY2025).
- In earlier fiscal years, Total Liabilities was $1.43 trillion in FY2024 (+4.7%), $1.37 trillion in FY2023 (-2.7%), $1.4 trillion in FY2022 (+8.4%) and $1.3 trillion in FY2021.
- Quarterly Total Liabilities has moved between $1.3 trillion (fiscal Q4 2021) and $1.43 trillion (fiscal Q2 2026) over five years.
- Compared with a year earlier, Total Liabilities has increased for three straight quarters, with growth averaging 2.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q2 2026 (growth of 5.0%); the worst was fiscal Q1 2024 (a decline of 1.2%).
- Per Business Quant data, TD's Total Liabilities in the three fiscal quarters before Q3 2026 was $1.43 trillion (Q2 2026), $1.42 trillion (Q1 2026) and $1.42 trillion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 2,099.88 Bn |
| 10 | Toronto Dominion Bank | 198.58 Bn | -473.92 Bn | - | 1,423.53 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 1,423.53 Bn |
| Apr 30, 2026 | 1,430.41 Bn |
| Jan 31, 2026 | 1,422.20 Bn |
| Oct 31, 2025 | 1,417.78 Bn |
| Jul 31, 2025 | 1,389.90 Bn |
| Apr 30, 2025 | 1,362.02 Bn |
| Jan 31, 2025 | 1,390.93 Bn |
| Oct 31, 2024 | 1,425.47 Bn |
| Jul 31, 2024 | 1,355.17 Bn |
| Apr 30, 2024 | 1,367.87 Bn |
| Jan 31, 2024 | 1,330.36 Bn |
| Oct 31, 2023 | 1,359.25 Bn |
| Jul 31, 2023 | 1,329.40 Bn |
| Apr 30, 2023 | 1,337.93 Bn |
| Jan 31, 2023 | 1,346.70 Bn |
| Oct 31, 2022 | 1,359.84 Bn |
| Oct 31, 2021 | 1,295.65 Bn |
| Jul 31, 2021 | 1,304.97 Bn |
| Apr 30, 2021 | 1,250.66 Bn |
| Jan 31, 2021 | 1,274.91 Bn |
Toronto Dominion Bank Total Liabilities 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=total-liabilities&ticker=TD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=TD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();