Lkq (LKQ) Divestments (2010 - 2023)
Lkq's Divestments was $397 million in FY2025, compared with -$11 million in FY2024.
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Analysis
Lkq (LKQ) Divestments (2010 - 2023) Analysis & Trends
From FY2009 onward, Lkq has reported Divestments for 11 years.
- Divestments shows a five-year compound annual growth rate of 139.9% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Divestments since FY2022.
- Per Business Quant data, Divestments in earlier years was -$11 million in FY2024, $110 million in FY2023 (-72.4%), $399 million in FY2022 and $7 million in FY2021 (+40.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | - |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | - |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | - |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | - |
| 10 | Lkq | 5.86 Bn | 4.64 Bn | 1.32 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 110.00 Mn |
| Sep 30, 2022 | 27.00 Mn |
| Dec 31, 2021 | 1.00 Mn |
| Jun 30, 2021 | 56,000.00 |
| Mar 31, 2021 | 5.94 Mn |
| Dec 31, 2020 | 397,000.00 |
| Sep 30, 2020 | 1,000.00 |
| Jun 30, 2020 | 2.84 Mn |
| Mar 31, 2020 | 1.76 Mn |
| Dec 31, 2019 | -1.04 Mn |
| Sep 30, 2019 | 19.51 Mn |
| Mar 31, 2017 | 301.30 Mn |
| Mar 31, 2016 | 10.30 Mn |
| Mar 31, 2010 | 11.99 Mn |
API Access
Lkq 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=divestments&ticker=LKQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "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=divestments&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();