Home Depot (HD) Other Operating Expenses (2009 - 2026)
Home Depot (HD) reported Other Operating Expenses of $247 million for fiscal Q4 2019 (quarter ended Feb 3, 2019).
Analysis
Home Depot (HD) Other Operating Expenses (2009 - 2026) Analysis & Trends
For FY2013 (ended Feb 3, 2013), Home Depot posted Other Operating Expenses of -$97 million.
- By fiscal year, Other Operating Expenses came in at -$163 million in FY2010 and -$163 million in FY2009.
- The fiscal Q4 2019 figure ranks as the lowest quarterly Other Operating Expenses since fiscal Q4 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn |
| 10 | JD.com | 40.22 Bn | -80.66 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 852.00 Mn |
| May 3, 2026 | 841.00 Mn |
| Feb 1, 2026 | 845.00 Mn |
| Nov 2, 2025 | 826.00 Mn |
| Aug 3, 2025 | 806.00 Mn |
| May 4, 2025 | 796.00 Mn |
| Feb 2, 2025 | 814.00 Mn |
| Oct 27, 2024 | 795.00 Mn |
| Jul 28, 2024 | 738.00 Mn |
| Apr 28, 2024 | 687.00 Mn |
| Jan 28, 2024 | 686.00 Mn |
| Oct 29, 2023 | 683.00 Mn |
| Jul 30, 2023 | 653.00 Mn |
| Apr 30, 2023 | 651.00 Mn |
| Jan 29, 2023 | 625.00 Mn |
| Oct 30, 2022 | 608.00 Mn |
| Jul 31, 2022 | 616.00 Mn |
| May 1, 2022 | 606.00 Mn |
| Jan 30, 2022 | 606.00 Mn |
| Oct 31, 2021 | 600.00 Mn |
API Access
Home Depot Other Operating Expenses 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-operating-expenses&ticker=HD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "HD", "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-operating-expenses&ticker=HD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();