Lkq (LKQ) Sales of Property, Plant and Equipment (2009 - 2023)
Lkq's Sales of Property, Plant and Equipment came in at $3 million for Q4 2023, down 25.0% from $4 million a year earlier but up 50.0% from the prior quarter.
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Analysis
Lkq (LKQ) Sales of Property, Plant and Equipment (2009 - 2023) Analysis & Trends
For FY2023, Lkq's Sales of Property, Plant and Equipment was $11 million, up 22.2% from FY2022.
- Sales of Property, Plant and Equipment carries a five-year compound annual growth rate of -16.8% (FY2018 to FY2023).
- Going back by year, Sales of Property, Plant and Equipment was $9 million in FY2022 (-55.0%), $20 million in FY2021 (+17.6%), $17 million in FY2020 (+6.0%) and $16.05 million in FY2019 (-42.0%).
- The five-year range for quarterly Sales of Property, Plant and Equipment is $582,000 (Q2 2020) to $9.64 million (Q4 2019).
- Year-over-year, Sales of Property, Plant and Equipment increased in two of the last eight quarters, with growth averaging 3.1%.
- The fastest year-over-year change in Sales of Property, Plant and Equipment over five years came in Q2 2021 (growth of 587.3%), and the weakest in Q1 2022 (a decline of 75.0%).
- Business Quant data shows LKQ's Sales of Property, Plant and Equipment at $2 million (Q3 2023), $3 million (Q2 2023) and $3 million (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 1.13 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 2.00 Mn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 3.60 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | - |
| 10 | Lkq | 5.78 Bn | 4.56 Bn | 1.32 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 3.00 Mn |
| Sep 30, 2023 | 2.00 Mn |
| Jun 30, 2023 | 3.00 Mn |
| Mar 31, 2023 | 3.00 Mn |
| Dec 31, 2022 | 4.00 Mn |
| Sep 30, 2022 | 2.00 Mn |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | 2.00 Mn |
| Dec 31, 2021 | 4.00 Mn |
| Sep 30, 2021 | 4.00 Mn |
| Jun 30, 2021 | 4.00 Mn |
| Mar 31, 2021 | 8.00 Mn |
| Dec 31, 2020 | 4.06 Mn |
| Sep 30, 2020 | 6.83 Mn |
| Jun 30, 2020 | 582,000.00 |
| Mar 31, 2020 | 5.53 Mn |
| Dec 31, 2019 | 9.64 Mn |
| Sep 30, 2019 | 4.43 Mn |
| Jun 30, 2019 | 724,000.00 |
| Mar 31, 2019 | 1.25 Mn |
API Access
Lkq Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=LKQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();