Lkq (LKQ) Tax Provisions (2009 - 2026)
Lkq (LKQ) recorded Tax Provisions of $48 million in Q2 2026, down 28.4% from $67 million a year earlier but up 9.1% from the prior quarter.
Lkq (LKQ) Tax Provisions (2009 - 2026) Analysis & Trends
On a TTM basis, Lkq's Tax Provisions came in at $168 million as of Jun 30, 2026, down 31.1% year-over-year; for FY2025, it was $204 million, down 23.0% from FY2024.
- Annual Tax Provisions has declined for three straight years, with a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- Across earlier years, Tax Provisions came in at $265 million in FY2024 (-12.8%), $304 million in FY2023 (-21.0%), $385 million in FY2022 (+16.3%) and $331 million in FY2021 (+32.4%).
- Quarterly Tax Provisions has ranged from $31 million in Q4 2025 to $127 million in Q2 2022 over the past five years.
- On a year-over-year basis, Tax Provisions has declined for six consecutive quarters, with an average decline of 15.3% over the last eight quarters.
- Peak year-over-year performance for Tax Provisions in the last five years was growth of 97.6% in Q4 2022, against a decline of 49.4% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $44 million (Q1 2026), $31 million (Q4 2025) and $45 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 283.46 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 582.00 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 209.01 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 66.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 171.78 Mn |
| 10 | Lkq | 5.79 Bn | 4.57 Bn | 1.32 Bn | 48.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.00 Mn |
| Mar 31, 2026 | 44.00 Mn |
| Dec 31, 2025 | 31.00 Mn |
| Sep 30, 2025 | 45.00 Mn |
| Jun 30, 2025 | 67.00 Mn |
| Mar 31, 2025 | 61.00 Mn |
| Dec 31, 2024 | 55.00 Mn |
| Sep 30, 2024 | 61.00 Mn |
| Jun 30, 2024 | 82.00 Mn |
| Mar 31, 2024 | 71.00 Mn |
| Dec 31, 2023 | 41.00 Mn |
| Sep 30, 2023 | 60.00 Mn |
| Jun 30, 2023 | 109.00 Mn |
| Mar 31, 2023 | 94.00 Mn |
| Dec 31, 2022 | 81.00 Mn |
| Sep 30, 2022 | 88.00 Mn |
| Jun 30, 2022 | 127.00 Mn |
| Mar 31, 2022 | 89.00 Mn |
| Dec 31, 2021 | 41.00 Mn |
| Sep 30, 2021 | 89.00 Mn |
Lkq Tax Provisions 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=tax-provisions&ticker=LKQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=LKQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();