Home Depot (HD) Amortizatization of Intangibles (2023 - 2026)
Home Depot's Amortizatization of Intangibles was $178 million in fiscal Q2 2027 (quarter ended Aug 2, 2026), up 28.1% from $139 million a year earlier and up 4.1% from the prior quarter.
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Analysis
Home Depot (HD) Amortizatization of Intangibles (2023 - 2026) Analysis & Trends
On a trailing twelve-month basis, Home Depot's Amortizatization of Intangibles was $678 million through Aug 2, 2026, up 20.9% year-over-year; for FY2026 (ended Feb 1, 2026), it was $607 million, up 42.8% from FY2025.
- Amortizatization of Intangibles has now increased for three consecutive fiscal years, with a three-year compound annual growth rate of 50.2% (FY2023 to FY2026).
- In earlier fiscal years, Amortizatization of Intangibles was $425 million in FY2025 (+128.5%), $186 million in FY2024 (+3.9%) and $179 million in FY2023.
- The fiscal Q2 2027 figure marks the highest quarterly Amortizatization of Intangibles in data going back to fiscal Q2 2024.
- Compared with a year earlier, Amortizatization of Intangibles has increased for nine straight quarters, with growth averaging 85.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Amortizatization of Intangibles ran from 14.5% in fiscal Q3 2026 to 190.0% in fiscal Q4 2025.
- Per Business Quant data, HD's Amortizatization of Intangibles in the three fiscal quarters before Q2 2027 was $171 million (Q1 2027), $171 million (Q4 2026) and $158 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | - |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 178.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | - |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | - |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | - |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 178.00 Mn |
| May 3, 2026 | 171.00 Mn |
| Feb 1, 2026 | 171.00 Mn |
| Nov 2, 2025 | 158.00 Mn |
| Aug 3, 2025 | 139.00 Mn |
| May 4, 2025 | 139.00 Mn |
| Feb 2, 2025 | 145.00 Mn |
| Oct 27, 2024 | 138.00 Mn |
| Jul 28, 2024 | 90.00 Mn |
| Apr 28, 2024 | 52.00 Mn |
| Jan 28, 2024 | 50.00 Mn |
| Oct 29, 2023 | 48.00 Mn |
| Jul 30, 2023 | 44.00 Mn |
API Access
Home Depot Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=HD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=HD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();