Lithia Motors (LAD) Tax Provisions (2010 - 2026)
Lithia Motors' Tax Provisions came in at $90.5 million for Q2 2026, down 3.6% from $93.9 million a year earlier but up 126.3% from the prior quarter.
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Analysis
Lithia Motors (LAD) Tax Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lithia Motors reported Tax Provisions of $245.7 million, down 18.2% year-over-year; for FY2025, it came in at $282.5 million, up 10.8% from FY2024.
- Tax Provisions carries a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $255 million in FY2024 (-27.3%), $350.6 million in FY2023 (-25.1%), $468.4 million in FY2022 (+11.0%) and $422.1 million in FY2021 (+136.9%).
- The five-year range for quarterly Tax Provisions is $40 million (Q1 2026) to $139.2 million (Q4 2021).
- Year-over-year, Tax Provisions has declined for four consecutive quarters, with an average decline of 3.4% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q1 2022 (growth of 128.6%), and the weakest in Q1 2026 (a decline of 45.4%).
- Business Quant data shows LAD's Tax Provisions at $40 million (Q1 2026), $51.6 million (Q4 2025) and $63.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,695.27 Bn | 2,211.96 Bn | 104.83 Bn | 18.20 Bn |
| 2 | Home Depot | 307.61 Bn | 300.85 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 162.46 Bn | 140.01 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 110.17 Bn | 103.13 Bn | 8.58 Bn | 776.00 Mn |
| 5 | Ross Stores | 75.13 Bn | 58.06 Bn | 2.12 Bn | 283.46 Mn |
| 6 | O Reilly Automotive | 73.69 Bn | 72.77 Bn | 2.52 Bn | 209.01 Mn |
| 7 | Target | 70.25 Bn | 64.84 Bn | 8.94 Bn | 582.00 Mn |
| 8 | Autozone | 51.37 Bn | 50.27 Bn | 2.52 Bn | 171.78 Mn |
| 9 | Carvana | 42.21 Bn | 32.71 Bn | 1.38 Bn | 66.00 Mn |
| 10 | Lithia Motors | 6.62 Bn | 5.08 Bn | 1.50 Bn | 90.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 90.50 Mn |
| Mar 31, 2026 | 40.00 Mn |
| Dec 31, 2025 | 51.60 Mn |
| Sep 30, 2025 | 63.60 Mn |
| Jun 30, 2025 | 93.90 Mn |
| Mar 31, 2025 | 73.30 Mn |
| Dec 31, 2024 | 68.50 Mn |
| Sep 30, 2024 | 64.80 Mn |
| Jun 30, 2024 | 66.20 Mn |
| Mar 31, 2024 | 55.60 Mn |
| Dec 31, 2023 | 63.60 Mn |
| Sep 30, 2023 | 96.40 Mn |
| Jun 30, 2023 | 105.90 Mn |
| Mar 31, 2023 | 84.70 Mn |
| Dec 31, 2022 | 86.30 Mn |
| Sep 30, 2022 | 125.40 Mn |
| Jun 30, 2022 | 130.60 Mn |
| Mar 31, 2022 | 126.20 Mn |
| Dec 31, 2021 | 139.20 Mn |
| Sep 30, 2021 | 113.20 Mn |
API Access
Lithia Motors 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=LAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "ticker": "LAD", "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=LAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();