Home Depot (HD) Cost of Revenue (2009 - 2026)
Home Depot (HD) recorded Cost of Revenue of $31.75 billion in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 5.3% from $30.15 billion a year earlier and up 13.4% from the prior quarter.
Home Depot (HD) Cost of Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Home Depot's Cost of Revenue came in at $113 billion as of Aug 2, 2026, up 2.7% year-over-year; for FY2026 (ended Feb 1, 2026), it was $109.82 billion, up 3.4% from FY2025.
- Annual Cost of Revenue has a five-year compound annual growth rate of 4.7% (FY2021 to FY2026).
- Across earlier fiscal years, Cost of Revenue came in at $106.21 billion in FY2025 (+4.4%), $101.71 billion in FY2024 (-2.8%), $104.63 billion in FY2023 (+4.3%) and $100.33 billion in FY2022 (+15.0%).
- The fiscal Q2 2027 figure is the highest quarterly Cost of Revenue in data going back to fiscal Q4 2009.
- On a year-over-year basis, Cost of Revenue rose in seven of the last eight quarters, with growth averaging 5.9%.
- Peak year-over-year performance for Cost of Revenue in the last five years was growth of 14.6% in fiscal Q4 2025, against a decline of 4.1% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $27.98 billion (Q1 2027), $25.73 billion (Q4 2026) and $27.54 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | 42.31 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 31.75 Bn |
| May 3, 2026 | 27.98 Bn |
| Feb 1, 2026 | 25.73 Bn |
| Nov 2, 2025 | 27.54 Bn |
| Aug 3, 2025 | 30.15 Bn |
| May 4, 2025 | 26.40 Bn |
| Feb 2, 2025 | 26.67 Bn |
| Oct 27, 2024 | 26.79 Bn |
| Jul 28, 2024 | 28.76 Bn |
| Apr 28, 2024 | 23.99 Bn |
| Jan 28, 2024 | 23.28 Bn |
| Oct 29, 2023 | 24.97 Bn |
| Jul 30, 2023 | 28.76 Bn |
| Apr 30, 2023 | 24.70 Bn |
| Jan 29, 2023 | 23.91 Bn |
| Oct 30, 2022 | 25.65 Bn |
| Jul 31, 2022 | 29.31 Bn |
| May 1, 2022 | 25.76 Bn |
| Jan 30, 2022 | 23.86 Bn |
| Oct 31, 2021 | 24.26 Bn |
Home Depot Cost of Revenue 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=cost-of-revenue&ticker=HD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=HD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();