Lkq (LKQ) Restructuring Costs (2009 - 2026)
Lkq (LKQ) posted Restructuring Costs of $14 million for Q2 2026, up 75.0% from $8 million a year earlier but down 57.6% from the prior quarter.
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Analysis
Lkq (LKQ) Restructuring Costs (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Restructuring Costs at Lkq was $70 million, down 6.7% year-over-year; for FY2025, it was $42 million, down 68.9% from FY2024.
- Annual Restructuring Costs shows a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- In prior years, Lkq's Restructuring Costs was $135 million in FY2024 (+107.7%), $65 million in FY2023 (+225.0%), $20 million in FY2022 (unchanged) and $20 million in FY2021 (-69.7%).
- Quarterly Restructuring Costs has run from a low of $3 million in Q3 2021 to a high of $49 million in Q2 2024 over five years.
- On a year-over-year basis, Restructuring Costs increased in three of the last eight quarters, with growth averaging 24.6%.
- The strongest year-over-year quarter for Restructuring Costs in the past five years was Q3 2023, with growth of 800.0%; the weakest was Q3 2021, with a decline of 85.4%.
- According to Business Quant data, Restructuring Costs for the three prior quarters was $33 million (Q1 2026), $9 million (Q4 2025) and $14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,843.72 Bn | 2,360.41 Bn | 104.83 Bn |
| 2 | Home Depot | 312.67 Bn | 305.91 Bn | 16.12 Bn |
| 3 | Tjx Companies | 161.67 Bn | 139.22 Bn | 5.07 Bn |
| 4 | Lowes Companies | 109.96 Bn | 102.93 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.22 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.45 Bn | 72.54 Bn | 2.52 Bn |
| 7 | Target | 69.99 Bn | 64.58 Bn | 8.94 Bn |
| 8 | Autozone | 51.86 Bn | 50.76 Bn | 2.52 Bn |
| 9 | Carvana | 43.48 Bn | 33.97 Bn | 1.38 Bn |
| 10 | Lkq | 5.49 Bn | 4.24 Bn | 1.32 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.00 Mn |
| Mar 31, 2026 | 33.00 Mn |
| Dec 31, 2025 | 9.00 Mn |
| Sep 30, 2025 | 14.00 Mn |
| Jun 30, 2025 | 8.00 Mn |
| Mar 31, 2025 | 11.00 Mn |
| Dec 31, 2024 | 36.00 Mn |
| Sep 30, 2024 | 20.00 Mn |
| Jun 30, 2024 | 49.00 Mn |
| Mar 31, 2024 | 30.00 Mn |
| Dec 31, 2023 | 12.00 Mn |
| Sep 30, 2023 | 27.00 Mn |
| Jun 30, 2023 | 8.00 Mn |
| Mar 31, 2023 | 18.00 Mn |
| Dec 31, 2022 | 10.00 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 4.00 Mn |
| Mar 31, 2022 | 3.00 Mn |
| Dec 31, 2021 | 4.00 Mn |
| Sep 30, 2021 | 3.00 Mn |
API Access
Lkq Restructuring Costs 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=restructuring-costs&ticker=LKQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();