Lowes Companies (LOW) Current Debt (2009 - 2026)
Lowes Companies' Current Debt came in at $378 million for fiscal Q1 2027 (quarter ended May 1, 2026).
Analysis
Lowes Companies (LOW) Current Debt (2009 - 2026) Analysis & Trends
For FY2024 (ended Feb 2, 2024), Lowes Companies' Current Debt was -$499 million.
- Going back by fiscal year, Current Debt was $499 million in FY2023, -$941 million in FY2021 and $220 million in FY2020.
- The fiscal Q1 2027 figure represents the highest quarterly Current Debt since fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | - |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 745.00 Mn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | - |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 815.78 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | - |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 507.00 Mn |
| 10 | JD.com | 32.28 Bn | -77.90 Bn | 8.71 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 1, 2026 | 378.00 Mn |
| Aug 4, 2023 | -72.00 Mn |
| May 5, 2023 | -427.00 Mn |
| Feb 3, 2023 | 499.00 Mn |
| May 1, 2020 | -941.00 Mn |
| Jan 31, 2020 | 305.00 Mn |
| Nov 1, 2019 | 637.00 Mn |
| May 3, 2019 | -722.00 Mn |
| Feb 1, 2019 | 722.00 Mn |
| Aug 3, 2018 | 3.00 Mn |
| May 4, 2018 | -1.14 Bn |
| Feb 2, 2018 | 965.00 Mn |
| Nov 3, 2017 | 171.00 Mn |
| May 5, 2017 | -511.00 Mn |
| Feb 3, 2017 | 510.00 Mn |
| Apr 29, 2016 | -44.00 Mn |
| Jan 29, 2016 | 43.00 Mn |
| May 2, 2014 | -386.00 Mn |
| Jan 31, 2014 | 386.00 Mn |
| Jan 29, 2010 | -5.00 Mn |
API Access
Lowes Companies Current Debt 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=current-debt&ticker=LOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "current-debt", "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=current-debt&ticker=LOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();