Lowes Companies (LOW) Notes Payables (2009 - 2026)
Lowes Companies' Short-Term Borrowings was $380 million in fiscal Q1 2027 (quarter ended May 1, 2026).
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Analysis
Lowes Companies (LOW) Notes Payables (2009 - 2026) Analysis & Trends
At the end of FY2023 (ended Feb 3, 2023), Short-Term Borrowings at Lowes Companies came in at $499 million.
- Short-Term Borrowings shows a five-year compound annual growth rate of -15.2% (FY2018 to FY2023).
- In earlier fiscal years, Short-Term Borrowings was $1.94 billion in FY2020 (+168.8%) and $722 million in FY2019 (-36.5%).
- The fiscal Q1 2027 figure marks the highest quarterly Short-Term Borrowings since fiscal Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn |
| 10 | JD.com | 40.22 Bn | -80.66 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 1, 2026 | 380.00 Mn |
| May 5, 2023 | 72.00 Mn |
| Feb 3, 2023 | 499.00 Mn |
| Oct 29, 2021 | 1.00 Bn |
| Jul 30, 2021 | 1.00 Bn |
| Jul 31, 2020 | 1.00 Bn |
| May 1, 2020 | 1.00 Bn |
| Jan 31, 2020 | 1.94 Bn |
| Nov 1, 2019 | 637.00 Mn |
| Feb 1, 2019 | 722.00 Mn |
| Feb 2, 2018 | 1.14 Bn |
| Nov 3, 2017 | 171.00 Mn |
| Feb 3, 2017 | 510.00 Mn |
| Jan 29, 2016 | 43.00 Mn |
| Jan 31, 2014 | 386.00 Mn |
| Jul 31, 2009 | 9.00 Mn |
| Jan 30, 2009 | 987.00 Mn |
API Access
Lowes Companies Notes Payables 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=notes-payables&ticker=LOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "notes-payables", "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=notes-payables&ticker=LOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();