Toronto Dominion Bank (TD) Tax Provisions (2009 - 2026)
Toronto Dominion Bank (TD) recorded Tax Provisions of $883.59 million in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 34.2% from $658.65 million a year earlier and up 56.3% from the prior quarter.
Toronto Dominion Bank (TD) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Toronto Dominion Bank's Tax Provisions came in at $2.85 billion as of Jul 31, 2026, up 27.8% year-over-year; for FY2025 (ended Oct 31, 2025), it was $2.44 billion, up 23.2% from FY2024.
- Annual Tax Provisions has a five-year compound annual growth rate of 29.0% (FY2020 to FY2025).
- Across earlier fiscal years, Tax Provisions came in at $1.98 billion in FY2024 (-14.5%), $2.31 billion in FY2023 (-25.4%), $3.1 billion in FY2022 (+7.6%) and $2.88 billion in FY2021.
- The fiscal Q3 2026 figure is the highest quarterly Tax Provisions since fiscal Q4 2022.
- On a year-over-year basis, Tax Provisions rose in six of the last eight quarters, with growth averaging 20.5%.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 65.3% in fiscal Q1 2026, against a decline of 52.6% in fiscal Q4 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $565.37 million (Q2 2026), $812.8 million (Q1 2026) and $592.56 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | Toronto Dominion Bank | 198.58 Bn | -473.92 Bn | - | 883.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 883.59 Mn |
| Apr 30, 2026 | 565.37 Mn |
| Jan 31, 2026 | 812.80 Mn |
| Oct 31, 2025 | 592.56 Mn |
| Jul 31, 2025 | 658.65 Mn |
| Apr 30, 2025 | 692.19 Mn |
| Jan 31, 2025 | 491.69 Mn |
| Oct 31, 2024 | 391.04 Mn |
| Jul 31, 2024 | 579.87 Mn |
| Apr 30, 2024 | 537.65 Mn |
| Jan 31, 2024 | 468.98 Mn |
| Oct 31, 2023 | 463.15 Mn |
| Jul 31, 2023 | 527.44 Mn |
| Apr 30, 2023 | 634.84 Mn |
| Jan 31, 2023 | 696.17 Mn |
| Oct 31, 2022 | 976.51 Mn |
| Jun 30, 2022 | 481.59 Mn |
| Mar 31, 2022 | 436.58 Mn |
| Dec 31, 2021 | 442.68 Mn |
| Oct 31, 2021 | 723.85 Mn |
Toronto Dominion Bank Tax 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=tax-provisions&ticker=TD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-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=tax-provisions&ticker=TD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();