Lkq (LKQ) Property, Plant & Equipment (Net) (2009 - 2026)
Lkq (LKQ) reported Property, Plant & Equipment (Net) of $1.42 billion for Q2 2026, down 10.4% from $1.58 billion a year earlier but up 0.8% from the prior quarter.
Lkq (LKQ) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Lkq posted Property, Plant & Equipment (Net) of $1.45 billion, up 3.1% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $1.41 billion in FY2024 (-7.1%), $1.52 billion in FY2023 (+22.7%), $1.24 billion in FY2022 (-4.8%) and $1.3 billion in FY2021 (+4.0%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $1.17 billion in Q3 2022 and a high of $1.58 billion in Q2 2025.
- Year over year, Property, Plant & Equipment (Net) gained in four of the last eight quarters, with an average decline of 1.6%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2023 (growth of 22.7%); the low point was Q2 2026 (a decline of 10.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.41 billion (Q1 2026), $1.45 billion (Q4 2025) and $1.45 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 446.05 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 28.15 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 8.57 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 18.28 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.26 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 34.77 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.86 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 6.55 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 7.80 Bn |
| 10 | Lkq | 5.78 Bn | 4.56 Bn | 1.32 Bn | 1.42 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.42 Bn |
| Mar 31, 2026 | 1.41 Bn |
| Dec 31, 2025 | 1.45 Bn |
| Sep 30, 2025 | 1.45 Bn |
| Jun 30, 2025 | 1.58 Bn |
| Mar 31, 2025 | 1.53 Bn |
| Dec 31, 2024 | 1.41 Bn |
| Sep 30, 2024 | 1.57 Bn |
| Jun 30, 2024 | 1.51 Bn |
| Mar 31, 2024 | 1.49 Bn |
| Dec 31, 2023 | 1.52 Bn |
| Sep 30, 2023 | 1.43 Bn |
| Jun 30, 2023 | 1.30 Bn |
| Mar 31, 2023 | 1.27 Bn |
| Dec 31, 2022 | 1.24 Bn |
| Sep 30, 2022 | 1.17 Bn |
| Jun 30, 2022 | 1.22 Bn |
| Mar 31, 2022 | 1.26 Bn |
| Dec 31, 2021 | 1.30 Bn |
| Sep 30, 2021 | 1.19 Bn |
Lkq Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=LKQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "LKQ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();