Lowes Companies (LOW) Net of Acquisitions & Divestments (2017 - 2026)
Lowes Companies' Net of Acquisitions & Divestments was -$33 million in fiscal Q4 2026 (quarter ended Jan 30, 2026), compared with $80 million a year earlier.
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Analysis
Lowes Companies (LOW) Net of Acquisitions & Divestments (2017 - 2026) Analysis & Trends
For FY2026 (ended Jan 30, 2026), Net of Acquisitions & Divestments at Lowes Companies came in at -$10.09 billion.
- In earlier fiscal years, Net of Acquisitions & Divestments was $177 million in FY2025 (+77.0%), $100 million in FY2024 (-79.6%) and $491 million in FY2023.
- Quarterly Net of Acquisitions & Divestments has moved between -$8.74 billion (fiscal Q3 2026) and $491 million (fiscal Q4 2023) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Acquisitions (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | -23.99 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | -1.05 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | - |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | - |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | - |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | - |
| 10 | JD.com | 41.49 Bn | -78.71 Bn | 8.74 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 30, 2026 | -33.00 Mn |
| Oct 31, 2025 | -8.74 Bn |
| Jan 31, 2025 | 80.00 Mn |
| Nov 1, 2024 | 54.00 Mn |
| Aug 2, 2024 | 43.00 Mn |
| Nov 3, 2023 | -23.00 Mn |
| May 5, 2023 | 123.00 Mn |
| Feb 3, 2023 | 491.00 Mn |
| Nov 3, 2017 | -4.00 Mn |
| Feb 3, 2017 | -72.00 Mn |
API Access
Lowes Companies Net of Acquisitions & Divestments 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=net-of-acquisitions-and-divestments&ticker=LOW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-of-acquisitions-and-divestments", "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=net-of-acquisitions-and-divestments&ticker=LOW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();