Home Depot (HD) EBITDA (2009 - 2026)
Home Depot's EBITDA was $7.95 billion in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 5.1% from $7.56 billion a year earlier and up 31.1% from the prior quarter.
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Analysis
Home Depot (HD) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Home Depot's EBITDA was $25.33 billion through Aug 2, 2026, down 1.1% year-over-year; for FY2026 (ended Feb 1, 2026), it came in at $25.01 billion, down 1.1% from FY2025.
- EBITDA shows a five-year compound annual growth rate of 3.8% (FY2021 to FY2026).
- In earlier fiscal years, EBITDA was $25.29 billion in FY2025 (+1.4%), $24.94 billion in FY2024 (-7.7%), $27.01 billion in FY2023 (+4.3%) and $25.9 billion in FY2022 (+24.5%).
- The fiscal Q2 2027 figure marks the highest quarterly EBITDA since fiscal Q2 2023.
- Compared with a year earlier, EBITDA was higher in five of the last eight quarters, with growth averaging 1.5%.
- The best year-over-year quarter for EBITDA over five years was fiscal Q3 2022 (growth of 18.7%); the worst was fiscal Q4 2026 (a decline of 10.5%).
- Per Business Quant data, HD's EBITDA in the three fiscal quarters before Q2 2027 was $6.06 billion (Q1 2027), $4.93 billion (Q4 2026) and $6.4 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.08 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 7.95 Bn |
| May 3, 2026 | 6.06 Bn |
| Feb 1, 2026 | 4.93 Bn |
| Nov 2, 2025 | 6.40 Bn |
| Aug 3, 2025 | 7.56 Bn |
| May 4, 2025 | 6.13 Bn |
| Feb 2, 2025 | 5.50 Bn |
| Oct 27, 2024 | 6.41 Bn |
| Jul 28, 2024 | 7.45 Bn |
| Apr 28, 2024 | 5.92 Bn |
| Jan 28, 2024 | 4.98 Bn |
| Oct 29, 2023 | 6.23 Bn |
| Jul 30, 2023 | 7.34 Bn |
| Apr 30, 2023 | 6.34 Bn |
| Jan 29, 2023 | 5.33 Bn |
| Oct 30, 2022 | 6.89 Bn |
| Jul 31, 2022 | 7.96 Bn |
| May 1, 2022 | 6.66 Bn |
| Jan 30, 2022 | 5.56 Bn |
| Oct 31, 2021 | 6.51 Bn |
API Access
Home Depot EBITDA 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=ebitda&ticker=HD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();