Lowes Companies (LOW) Operating Expenses (2009 - 2026)
Lowes Companies (LOW) posted Operating Expenses of $4.46 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 6.7% from $4.18 billion a year earlier and up 0.7% from the prior quarter.
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Analysis
Lowes Companies (LOW) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Lowes Companies was $17.45 billion, up 9.9% year-over-year; for FY2026 (ended Jan 30, 2026), it came in at $16.79 billion, up 7.1% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of -1.9% (FY2021 to FY2026).
- In prior fiscal years, Lowes Companies' Operating Expenses was $15.68 billion in FY2025 (+0.7%), $15.57 billion in FY2024 (-23.4%), $20.33 billion in FY2023 (+11.1%) and $18.3 billion in FY2022 (-1.2%).
- The fiscal Q2 2027 figure stands as the highest quarterly Operating Expenses since fiscal Q4 2023.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 5.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2023, with growth of 47.3%; the weakest was fiscal Q3 2024, with a decline of 41.6%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $4.42 billion (Q1 2027), $4.41 billion (Q4 2026) and $4.16 billion (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 1.60 Bn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | -1.53 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.46 Bn |
| May 1, 2026 | 4.42 Bn |
| Jan 30, 2026 | 4.41 Bn |
| Oct 31, 2025 | 4.16 Bn |
| Aug 1, 2025 | 4.18 Bn |
| May 2, 2025 | 4.05 Bn |
| Jan 31, 2025 | 3.82 Bn |
| Nov 1, 2024 | 3.83 Bn |
| Aug 2, 2024 | 4.03 Bn |
| May 3, 2024 | 4.01 Bn |
| Feb 2, 2024 | 3.90 Bn |
| Nov 3, 2023 | 3.76 Bn |
| Aug 4, 2023 | 4.09 Bn |
| May 5, 2023 | 3.82 Bn |
| Feb 3, 2023 | 5.13 Bn |
| Oct 28, 2022 | 6.44 Bn |
| Jul 29, 2022 | 4.46 Bn |
| Apr 29, 2022 | 4.30 Bn |
| Jan 28, 2022 | 4.74 Bn |
| Oct 29, 2021 | 4.37 Bn |
API Access
Lowes Companies Operating Expenses 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=operating-expenses&ticker=LOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=LOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();