Toronto Dominion Bank (TD) Interest Expense - Others (2009 - 2026)
Analysis
Toronto Dominion Bank (TD) Interest Expense - Others (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -7.11 Bn |
| Apr 30, 2026 | -7.14 Bn |
| Jan 31, 2026 | -7.26 Bn |
| Oct 31, 2025 | -7.33 Bn |
| Jul 31, 2025 | -7.07 Bn |
| Apr 30, 2025 | -6.98 Bn |
| Jan 31, 2025 | -9.07 Bn |
| Oct 31, 2024 | -7.86 Bn |
| Jul 31, 2024 | -6.72 Bn |
| Apr 30, 2024 | -7.87 Bn |
| Jan 31, 2024 | -6.60 Bn |
| Oct 31, 2023 | -6.63 Bn |
| Jul 31, 2023 | -7.99 Bn |
| Apr 30, 2023 | -8.00 Bn |
| Jan 31, 2023 | -8.02 Bn |
| Oct 31, 2022 | -8.20 Bn |
| Jul 31, 2022 | -7.93 Bn |
| Apr 30, 2022 | -8.41 Bn |
| Jan 31, 2022 | -8.58 Bn |
| Oct 31, 2021 | -8.61 Bn |
API Access
Toronto Dominion Bank Interest Expense - Others 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=interest-expense-others&ticker=TD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-others", "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=interest-expense-others&ticker=TD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();