Lowes Companies (LOW) Total Liabilities (2009 - 2026)
Lowes Companies (LOW) posted Total Liabilities of $63.32 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 9.1% from $58.01 billion a year earlier but down 1.4% from the prior quarter.
Lowes Companies (LOW) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 30, 2026), Lowes Companies' Total Liabilities came in at $64.06 billion, up 11.7% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 7.2% (FY2021 to FY2026).
- In prior fiscal years, Lowes Companies' Total Liabilities was $57.33 billion in FY2025 (+0.9%), $56.85 billion in FY2024 (-1.9%), $57.96 billion in FY2023 (+17.2%) and $49.46 billion in FY2022 (+9.2%).
- Quarterly Total Liabilities has run from a low of $49.46 billion in fiscal Q4 2022 to a high of $64.21 billion in fiscal Q1 2027 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last four quarters, with growth averaging 4.8% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q3 2023, with growth of 17.4%; the weakest was fiscal Q3 2024, with a decline of 3.6%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $64.21 billion (Q1 2027), $64.06 billion (Q4 2026) and $63.84 billion (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 63.32 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 9.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 43.39 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 19.22 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 9.41 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 23.70 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | 65.06 Bn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 63.32 Bn |
| May 1, 2026 | 64.21 Bn |
| Jan 30, 2026 | 64.06 Bn |
| Oct 31, 2025 | 63.84 Bn |
| Aug 1, 2025 | 58.01 Bn |
| May 2, 2025 | 58.63 Bn |
| Jan 31, 2025 | 57.33 Bn |
| Nov 1, 2024 | 58.16 Bn |
| Aug 2, 2024 | 58.70 Bn |
| May 3, 2024 | 59.97 Bn |
| Feb 2, 2024 | 56.85 Bn |
| Nov 3, 2023 | 57.67 Bn |
| Aug 4, 2023 | 59.25 Bn |
| May 5, 2023 | 60.63 Bn |
| Feb 3, 2023 | 57.96 Bn |
| Oct 28, 2022 | 59.84 Bn |
| Jul 29, 2022 | 55.17 Bn |
| Apr 29, 2022 | 56.60 Bn |
| Jan 28, 2022 | 49.46 Bn |
| Oct 29, 2021 | 50.98 Bn |
Lowes Companies 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=LOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LOW", "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=LOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();