Toronto Dominion Bank (TD) Provisions (2009 - 2026)
Toronto Dominion Bank (TD) reported Provisions of $657.67 million for fiscal Q3 2026 (quarter ended Jul 31, 2026), down 6.9% from $706.68 million a year earlier and down 9.9% from the prior quarter.
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Analysis
Toronto Dominion Bank (TD) Provisions (2009 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Toronto Dominion Bank's Provisions came in at $2.84 billion, down 14.2% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $3.22 billion, up 3.0% from FY2024.
- Provisions has increased for three consecutive fiscal years.
- By fiscal year, Provisions came in at $3.13 billion in FY2024 (+43.7%), $2.18 billion in FY2023 (+162.2%), $829.53 million in FY2022 and -$178.14 million in FY2021.
- The fiscal Q3 2026 figure ranks as the lowest quarterly Provisions since fiscal Q4 2023.
- Year over year, Provisions has now declined in each of the last five quarters, with an average decline of 0.5% over the last eight quarters.
- The high point for year-over-year Provisions in five years was fiscal Q4 2023 (growth of 39.4%); the low point was fiscal Q2 2026 (a decline of 22.5%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $730.24 million (Q2 2026), $748.67 million (Q1 2026) and $707.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provisions (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.52 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.38 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 110.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 717.20 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | -647.66 Mn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 124.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 914.00 Mn |
| 10 | Toronto Dominion Bank | 198.58 Bn | -473.92 Bn | - | 657.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 657.67 Mn |
| Apr 30, 2026 | 730.24 Mn |
| Jan 31, 2026 | 748.67 Mn |
| Oct 31, 2025 | 707.90 Mn |
| Jul 31, 2025 | 706.68 Mn |
| Apr 30, 2025 | 942.36 Mn |
| Jan 31, 2025 | 853.77 Mn |
| Oct 31, 2024 | 812.11 Mn |
| Jul 31, 2024 | 782.89 Mn |
| Apr 30, 2024 | 789.88 Mn |
| Jan 31, 2024 | 740.46 Mn |
| Oct 31, 2023 | 647.52 Mn |
| Jul 31, 2023 | 573.89 Mn |
| Apr 30, 2023 | -442.69 Mn |
| Jan 31, 2023 | -511.56 Mn |
| Oct 31, 2022 | 464.54 Mn |
| Oct 31, 2021 | -97.84 Mn |
| Jul 31, 2021 | -30.12 Mn |
| Apr 30, 2021 | -299.45 Mn |
| Jan 31, 2021 | 243.30 Mn |
API Access
Toronto Dominion Bank Provisions 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=provisions&ticker=TD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provisions", "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=provisions&ticker=TD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();