Lithia Motors (LAD) Operating Income (2010 - 2026)
Lithia Motors' Operating Income came in at $448.3 million for Q2 2026, up 5.4% from $425.3 million a year earlier and up 33.5% from the prior quarter.
Lithia Motors (LAD) Operating Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lithia Motors reported Operating Income of $1.55 billion, down 7.1% year-over-year; for FY2025, it was $1.59 billion, up 1.7% from FY2024.
- Operating Income carries a five-year compound annual growth rate of 18.1% (FY2020 to FY2025).
- Going back by year, Operating Income was $1.57 billion in FY2024 (-7.3%), $1.69 billion in FY2023 (-12.8%), $1.94 billion in FY2022 (+16.8%) and $1.66 billion in FY2021 (+140.0%).
- The Q2 2026 figure represents the highest quarterly Operating Income since Q3 2023.
- Year-over-year, Operating Income increased in four of the last eight quarters, with an average decline of 0.1%.
- The fastest year-over-year change in Operating Income over five years came in Q4 2021 (growth of 116.1%), and the weakest in Q1 2023 (a decline of 25.2%).
- Business Quant data shows LAD's Operating Income at $335.8 million (Q1 2026), $341.4 million (Q4 2025) and $421.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,695.27 Bn | 2,211.96 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 307.61 Bn | 300.85 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 162.46 Bn | 140.01 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 110.17 Bn | 103.13 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 75.13 Bn | 58.06 Bn | 2.12 Bn | 1.10 Bn |
| 6 | O Reilly Automotive | 73.69 Bn | 72.77 Bn | 2.52 Bn | 985.75 Mn |
| 7 | Target | 70.25 Bn | 64.84 Bn | 8.94 Bn | 2.56 Bn |
| 8 | Autozone | 51.37 Bn | 50.27 Bn | 2.52 Bn | 923.76 Mn |
| 9 | Carvana | 42.21 Bn | 32.71 Bn | 1.38 Bn | 680.00 Mn |
| 10 | Lithia Motors | 6.62 Bn | 5.08 Bn | 1.50 Bn | 448.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 448.30 Mn |
| Mar 31, 2026 | 335.80 Mn |
| Dec 31, 2025 | 341.40 Mn |
| Sep 30, 2025 | 421.60 Mn |
| Jun 30, 2025 | 425.30 Mn |
| Mar 31, 2025 | 406.30 Mn |
| Dec 31, 2024 | 411.60 Mn |
| Sep 30, 2024 | 421.90 Mn |
| Jun 30, 2024 | 393.60 Mn |
| Mar 31, 2024 | 341.40 Mn |
| Dec 31, 2023 | 372.50 Mn |
| Sep 30, 2023 | 465.30 Mn |
| Jun 30, 2023 | 475.80 Mn |
| Mar 31, 2023 | 379.00 Mn |
| Dec 31, 2022 | 400.40 Mn |
| Sep 30, 2022 | 514.90 Mn |
| Jun 30, 2022 | 519.10 Mn |
| Mar 31, 2022 | 506.70 Mn |
| Dec 31, 2021 | 498.30 Mn |
| Sep 30, 2021 | 479.50 Mn |
Lithia Motors Operating Income 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=operating-income&ticker=LAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=LAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();