Lithia Motors (LAD) Capital Expenditures (2010 - 2026)
Lithia Motors' Capital Expenditures was $56.3 million in Q2 2026, down 29.7% from $80.1 million a year earlier and down 42.0% from the prior quarter.
Lithia Motors (LAD) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lithia Motors' Capital Expenditures was $355.5 million through Jun 30, 2026, up 22.4% year-over-year; for FY2025, it came in at $350.9 million, down 0.1% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 15.9% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $351.4 million in FY2024 (+52.6%), $230.2 million in FY2023 (-24.1%), $303.1 million in FY2022 (+16.4%) and $260.4 million in FY2021 (+55.2%).
- The Q2 2026 figure marks the lowest quarterly Capital Expenditures since Q1 2023.
- Compared with a year earlier, Capital Expenditures was higher in four of the last eight quarters, with growth averaging 8.1%.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2024 (growth of 123.5%); the worst was Q2 2025 (a decline of 38.4%).
- Per Business Quant data, LAD's Capital Expenditures in the three quarters before Q2 2026 was $97.1 million (Q1 2026), $93.2 million (Q4 2025) and $108.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,695.27 Bn | 2,211.96 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 307.61 Bn | 300.85 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 162.46 Bn | 140.01 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 110.17 Bn | 103.13 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 75.13 Bn | 58.06 Bn | 2.12 Bn | 251.26 Mn |
| 6 | O Reilly Automotive | 73.69 Bn | 72.77 Bn | 2.52 Bn | 307.60 Mn |
| 7 | Target | 70.25 Bn | 64.84 Bn | 8.94 Bn | 1.37 Bn |
| 8 | Autozone | 51.37 Bn | 50.27 Bn | 2.52 Bn | 345.51 Mn |
| 9 | Carvana | 42.21 Bn | 32.71 Bn | 1.38 Bn | 51.00 Mn |
| 10 | Lithia Motors | 6.62 Bn | 5.08 Bn | 1.50 Bn | 56.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 56.30 Mn |
| Mar 31, 2026 | 97.10 Mn |
| Dec 31, 2025 | 93.20 Mn |
| Sep 30, 2025 | 108.90 Mn |
| Jun 30, 2025 | 80.10 Mn |
| Mar 31, 2025 | 68.70 Mn |
| Dec 31, 2024 | 79.50 Mn |
| Sep 30, 2024 | 62.20 Mn |
| Jun 30, 2024 | 130.10 Mn |
| Mar 31, 2024 | 79.60 Mn |
| Dec 31, 2023 | 66.50 Mn |
| Sep 30, 2023 | 66.60 Mn |
| Jun 30, 2023 | 58.20 Mn |
| Mar 31, 2023 | 38.90 Mn |
| Dec 31, 2022 | 93.30 Mn |
| Sep 30, 2022 | 73.20 Mn |
| Jun 30, 2022 | 75.90 Mn |
| Mar 31, 2022 | 60.70 Mn |
| Dec 31, 2021 | 66.30 Mn |
| Sep 30, 2021 | 81.10 Mn |
Lithia Motors Capital Expenditures 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=capital-expenditures&ticker=LAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=LAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();