Lkq (LKQ) EBITDA (2009 - 2026)
Lkq (LKQ) recorded EBITDA of $328 million in Q2 2026, down 18.8% from $404 million a year earlier but up 3.8% from the prior quarter.
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Analysis
Lkq (LKQ) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Lkq's EBITDA came in at $1.28 billion as of Jun 30, 2026, down 16.4% year-over-year; for FY2025, it came in at $1.41 billion, down 9.0% from FY2024.
- Annual EBITDA has declined for three straight years, though with a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $1.55 billion in FY2024 (-5.6%), $1.64 billion in FY2023 (-10.9%), $1.85 billion in FY2022 (+4.9%) and $1.76 billion in FY2021 (+36.8%).
- Quarterly EBITDA has ranged from $259 million in Q4 2025 to $627 million in Q2 2022 over the past five years.
- On a year-over-year basis, EBITDA has declined for six consecutive quarters, with an average decline of 8.7% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 21.7% in Q2 2022, against a decline of 29.0% in Q4 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $316 million (Q1 2026), $259 million (Q4 2025) and $381 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,838.82 Bn | 2,355.51 Bn | 104.83 Bn | 47.45 Bn |
| 2 | Home Depot | 312.41 Bn | 305.66 Bn | 16.12 Bn | 7.95 Bn |
| 3 | Tjx Companies | 161.82 Bn | 139.37 Bn | 5.07 Bn | 2.33 Bn |
| 4 | Lowes Companies | 109.88 Bn | 102.85 Bn | 8.58 Bn | 4.20 Bn |
| 5 | Ross Stores | 75.24 Bn | 58.17 Bn | 2.12 Bn | 1.24 Bn |
| 6 | O Reilly Automotive | 73.39 Bn | 72.48 Bn | 2.52 Bn | 1.13 Bn |
| 7 | Target | 69.70 Bn | 64.28 Bn | 8.94 Bn | 3.34 Bn |
| 8 | Autozone | 51.89 Bn | 50.79 Bn | 2.52 Bn | 1.09 Bn |
| 9 | Carvana | 43.54 Bn | 34.03 Bn | 1.38 Bn | 753.00 Mn |
| 10 | Lkq | 5.51 Bn | 4.27 Bn | 1.32 Bn | 328.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 328.00 Mn |
| Mar 31, 2026 | 316.00 Mn |
| Dec 31, 2025 | 259.00 Mn |
| Sep 30, 2025 | 381.00 Mn |
| Jun 30, 2025 | 404.00 Mn |
| Mar 31, 2025 | 367.00 Mn |
| Dec 31, 2024 | 365.00 Mn |
| Sep 30, 2024 | 399.00 Mn |
| Jun 30, 2024 | 429.00 Mn |
| Mar 31, 2024 | 389.00 Mn |
| Dec 31, 2023 | 344.00 Mn |
| Sep 30, 2023 | 392.00 Mn |
| Jun 30, 2023 | 477.00 Mn |
| Mar 31, 2023 | 430.00 Mn |
| Dec 31, 2022 | 360.00 Mn |
| Sep 30, 2022 | 422.00 Mn |
| Jun 30, 2022 | 627.00 Mn |
| Mar 31, 2022 | 436.00 Mn |
| Dec 31, 2021 | 352.00 Mn |
| Sep 30, 2021 | 449.00 Mn |
API Access
Lkq EBITDA 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=ebitda&ticker=LKQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();