Toronto Dominion Bank (TD) Other non-cash items (2009 - 2026)
Analysis
Toronto Dominion Bank (TD) Other non-cash items (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -4.42 Bn |
| Apr 30, 2026 | -135.69 Mn |
| Jan 31, 2026 | 5.97 Bn |
| Oct 31, 2025 | 147.78 Mn |
| Jul 31, 2025 | -13.80 Bn |
| Apr 30, 2025 | 8.76 Bn |
| Jan 31, 2025 | -11.68 Bn |
| Oct 31, 2024 | -2.69 Bn |
| Jul 31, 2024 | -2.17 Bn |
| Apr 30, 2024 | -733.83 Mn |
| Jan 31, 2024 | 1.07 Bn |
| Oct 31, 2023 | -8.15 Bn |
| Jul 31, 2023 | 12.99 Bn |
| Apr 30, 2023 | -5.98 Bn |
| Jan 31, 2023 | 2.17 Bn |
| Oct 31, 2022 | -9.82 Bn |
| Jul 31, 2022 | 5.02 Bn |
| Apr 30, 2022 | 4.25 Bn |
| Jan 31, 2022 | -5.86 Bn |
| Oct 31, 2021 | 5.15 Bn |
API Access
Toronto Dominion Bank Other non-cash items 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=other-non-cash-items&ticker=TD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-cash-items", "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=other-non-cash-items&ticker=TD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();