Home Depot (HD) Interest Expenses (2009 - 2026)
Home Depot's Interest Expenses was $583 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 1.4% from $575 million a year earlier but down 4.6% from the prior quarter.
Home Depot (HD) Interest Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Home Depot's Interest Expenses was $2.42 billion through Aug 2, 2026, down 1.5% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $2.41 billion, up 3.9% from FY2025.
- Interest Expenses has now increased for four consecutive fiscal years, with a five-year compound annual growth rate of 12.4% (FY2021 to FY2026).
- In earlier fiscal years, Interest Expenses was $2.32 billion in FY2025 (+19.5%), $1.94 billion in FY2024 (+20.2%), $1.62 billion in FY2023 (+20.0%) and $1.35 billion in FY2022 (unchanged).
- Quarterly Interest Expenses has moved between $341 million (fiscal Q3 2022) and $638 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Interest Expenses was higher in six of the last eight quarters, with growth averaging 9.3%.
- The best year-over-year quarter for Interest Expenses over five years was fiscal Q4 2023 (growth of 32.3%); the worst was fiscal Q4 2026 (a decline of 6.9%).
- Per Business Quant data, HD's Interest Expenses in the three fiscal quarters before Q2 2027 was $611 million (Q1 2027), $594 million (Q4 2026) and $628 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 98.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | -103.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 583.00 Mn |
| May 3, 2026 | 611.00 Mn |
| Feb 1, 2026 | 594.00 Mn |
| Nov 2, 2025 | 628.00 Mn |
| Aug 3, 2025 | 575.00 Mn |
| May 4, 2025 | 615.00 Mn |
| Feb 2, 2025 | 638.00 Mn |
| Oct 27, 2024 | 625.00 Mn |
| Jul 28, 2024 | 573.00 Mn |
| Apr 28, 2024 | 485.00 Mn |
| Jan 28, 2024 | 513.00 Mn |
| Oct 29, 2023 | 487.00 Mn |
| Jul 30, 2023 | 469.00 Mn |
| Apr 30, 2023 | 474.00 Mn |
| Jan 29, 2023 | 451.00 Mn |
| Oct 30, 2022 | 413.00 Mn |
| Jul 31, 2022 | 381.00 Mn |
| May 1, 2022 | 372.00 Mn |
| Jan 30, 2022 | 341.00 Mn |
| Oct 31, 2021 | 341.00 Mn |
Home Depot Interest 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=interest-expenses&ticker=HD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=HD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();