Home Depot (HD) Total Liabilities (2009 - 2026)
Home Depot (HD) posted Total Liabilities of $92.77 billion for fiscal Q2 2027 (quarter ended Aug 2, 2026), up 3.8% from $89.38 billion a year earlier but down 1.3% from the prior quarter.
Home Depot (HD) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Feb 1, 2026), Home Depot's Total Liabilities came in at $92.28 billion, up 3.1% from FY2025.
- Annual Total Liabilities has increased for 15 consecutive fiscal years, with a five-year compound annual growth rate of 6.5% (FY2021 to FY2026).
- In prior fiscal years, Home Depot's Total Liabilities was $89.48 billion in FY2025 (+18.5%), $75.49 billion in FY2024 (+0.8%), $74.88 billion in FY2023 (+1.8%) and $73.57 billion in FY2022 (+9.3%).
- Quarterly Total Liabilities has run from a low of $72 billion in fiscal Q3 2022 to a high of $94.16 billion in fiscal Q3 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with growth averaging 8.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2025, with growth of 23.4%; the weakest was fiscal Q2 2026, with a decline of 3.3%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $94.03 billion (Q1 2027), $92.28 billion (Q4 2026) and $94.16 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 23.70 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 65.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 2, 2026 | 92.77 Bn |
| May 3, 2026 | 94.03 Bn |
| Feb 1, 2026 | 92.28 Bn |
| Nov 2, 2025 | 94.16 Bn |
| Aug 3, 2025 | 89.38 Bn |
| May 4, 2025 | 91.20 Bn |
| Feb 2, 2025 | 89.48 Bn |
| Oct 27, 2024 | 91.48 Bn |
| Jul 28, 2024 | 92.43 Bn |
| Apr 28, 2024 | 77.41 Bn |
| Jan 28, 2024 | 75.49 Bn |
| Oct 29, 2023 | 74.15 Bn |
| Jul 30, 2023 | 75.05 Bn |
| Apr 30, 2023 | 76.02 Bn |
| Jan 29, 2023 | 74.88 Bn |
| Oct 30, 2022 | 75.57 Bn |
| Jul 31, 2022 | 75.59 Bn |
| May 1, 2022 | 78.28 Bn |
| Jan 30, 2022 | 73.57 Bn |
| Oct 31, 2021 | 72.00 Bn |
Home Depot Total Liabilities 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=total-liabilities&ticker=HD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=HD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();