Lowes Companies (LOW) EBITDA (2009 - 2026)
Lowes Companies' EBITDA came in at $4.2 billion for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.3% from $3.98 billion a year earlier and up 31.2% from the prior quarter.
Lowes Companies (LOW) EBITDA (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 31, 2026, Lowes Companies reported EBITDA of $12.76 billion, up 3.2% year-over-year; for FY2026 (ended Jan 30, 2026), it was $12.35 billion, down 0.7% from FY2025.
- EBITDA carries a five-year compound annual growth rate of 1.9% (FY2021 to FY2026).
- Going back by fiscal year, EBITDA was $12.44 billion in FY2025 (-7.7%), $13.48 billion in FY2024 (+11.0%), $12.14 billion in FY2023 (-13.1%) and $13.98 billion in FY2022 (+24.3%).
- The fiscal Q2 2027 figure represents the highest quarterly EBITDA since fiscal Q2 2024.
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 1.4% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in fiscal Q3 2024 (growth of 123.1%), and the weakest in fiscal Q3 2023 (a decline of 56.4%).
- Business Quant data shows LOW's EBITDA at $3.2 billion (Q1 2027), $2.35 billion (Q4 2026) and $3.02 billion (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 1.24 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 3.34 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 1.12 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 749.00 Mn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 1.08 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.20 Bn |
| May 1, 2026 | 3.20 Bn |
| Jan 30, 2026 | 2.35 Bn |
| Oct 31, 2025 | 3.02 Bn |
| Aug 1, 2025 | 3.98 Bn |
| May 2, 2025 | 3.00 Bn |
| Jan 31, 2025 | 2.34 Bn |
| Nov 1, 2024 | 3.03 Bn |
| Aug 2, 2024 | 3.93 Bn |
| May 3, 2024 | 3.14 Bn |
| Feb 2, 2024 | 2.18 Bn |
| Nov 3, 2023 | 3.18 Bn |
| Aug 4, 2023 | 4.36 Bn |
| May 5, 2023 | 3.75 Bn |
| Feb 3, 2023 | 2.18 Bn |
| Oct 28, 2022 | 1.43 Bn |
| Jul 29, 2022 | 4.73 Bn |
| Apr 29, 2022 | 3.81 Bn |
| Jan 28, 2022 | 2.34 Bn |
| Oct 29, 2021 | 3.27 Bn |
Lowes Companies EBITDA 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=ebitda&ticker=LOW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();