Home Depot (HD) Operating Expenses (2009 - 2026)
Home Depot (HD) reported Operating Expenses of $9.28 billion for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 8.2% from $8.57 billion a year earlier and up 5.4% from the prior quarter.
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Analysis
Home Depot (HD) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 2, 2026, Home Depot's Operating Expenses came in at $35.16 billion, up 5.1% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $33.98 billion, up 6.9% from FY2025.
- Operating Expenses has increased for 12 consecutive fiscal years, with a five-year compound annual growth rate of 5.0% (FY2021 to FY2026).
- By fiscal year, Operating Expenses came in at $31.78 billion in FY2025 (+8.6%), $29.27 billion in FY2024 (+1.9%), $28.74 billion in FY2023 (+3.4%) and $27.79 billion in FY2022 (+4.6%).
- The fiscal Q2 2027 figure ranks as the highest quarterly Operating Expenses in data going back to fiscal Q4 2009.
- Year over year, Operating Expenses has now increased in each of the last 13 quarters, with growth averaging 8.5% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was fiscal Q4 2025 (growth of 15.9%); the low point was fiscal Q1 2024 (a decline of 2.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $8.8 billion (Q1 2027), $8.62 billion (Q4 2026) and $8.46 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 1.60 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | -1.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 9.28 Bn |
| May 3, 2026 | 8.80 Bn |
| Feb 1, 2026 | 8.62 Bn |
| Nov 2, 2025 | 8.46 Bn |
| Aug 3, 2025 | 8.57 Bn |
| May 4, 2025 | 8.33 Bn |
| Feb 2, 2025 | 8.54 Bn |
| Oct 27, 2024 | 8.01 Bn |
| Jul 28, 2024 | 7.88 Bn |
| Apr 28, 2024 | 7.35 Bn |
| Jan 28, 2024 | 7.37 Bn |
| Oct 29, 2023 | 7.33 Bn |
| Jul 30, 2023 | 7.57 Bn |
| Apr 30, 2023 | 7.01 Bn |
| Jan 29, 2023 | 7.17 Bn |
| Oct 30, 2022 | 7.08 Bn |
| Jul 31, 2022 | 7.27 Bn |
| May 1, 2022 | 7.22 Bn |
| Jan 30, 2022 | 7.04 Bn |
| Oct 31, 2021 | 6.77 Bn |
API Access
Home Depot 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=operating-expenses&ticker=HD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=HD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();