Lithia Motors (LAD) Operating Expenses (2010 - 2026)
Lithia Motors' Operating Expenses was $1.01 billion in Q2 2026, unchanged from $1.01 billion a year earlier and down 2.2% from the prior quarter.
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Analysis
Lithia Motors (LAD) Operating Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lithia Motors' Operating Expenses was $4.03 billion through Jun 30, 2026, up 5.7% year-over-year; for FY2025, it came in at $3.94 billion, up 5.0% from FY2024.
- Operating Expenses has now increased for 16 consecutive years, with a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $3.76 billion in FY2024 (+14.0%), $3.29 billion in FY2023 (+8.2%), $3.04 billion in FY2022 (+22.7%) and $2.48 billion in FY2021 (+72.5%).
- Quarterly Operating Expenses has moved between $673.3 million (Q3 2021) and $1.04 billion (Q1 2026) over five years.
- Compared with a year earlier, Operating Expenses was higher in seven of the last eight quarters, with growth averaging 6.0%.
- Over the past five years, the year-over-year growth in Operating Expenses ranged from 0.0% (Q2 2026) to 81.6% (Q4 2021).
- Per Business Quant data, LAD's Operating Expenses in the three quarters before Q2 2026 was $1.04 billion (Q1 2026), $979.4 million (Q4 2025) and $998 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,695.27 Bn | 2,211.96 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 307.61 Bn | 300.85 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.46 Bn | 140.01 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 110.17 Bn | 103.13 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.13 Bn | 58.06 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 73.69 Bn | 72.77 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 70.25 Bn | 64.84 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 51.37 Bn | 50.27 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 42.21 Bn | 32.71 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Lithia Motors | 6.62 Bn | 5.08 Bn | 1.50 Bn | 1.01 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.01 Bn |
| Mar 31, 2026 | 1.04 Bn |
| Dec 31, 2025 | 979.40 Mn |
| Sep 30, 2025 | 998.00 Mn |
| Jun 30, 2025 | 1.01 Bn |
| Mar 31, 2025 | 952.70 Mn |
| Dec 31, 2024 | 902.20 Mn |
| Sep 30, 2024 | 943.60 Mn |
| Jun 30, 2024 | 975.20 Mn |
| Mar 31, 2024 | 934.30 Mn |
| Dec 31, 2023 | 836.70 Mn |
| Sep 30, 2023 | 850.80 Mn |
| Jun 30, 2023 | 842.20 Mn |
| Mar 31, 2023 | 764.40 Mn |
| Dec 31, 2022 | 752.80 Mn |
| Sep 30, 2022 | 754.20 Mn |
| Jun 30, 2022 | 796.90 Mn |
| Mar 31, 2022 | 739.90 Mn |
| Dec 31, 2021 | 723.20 Mn |
| Sep 30, 2021 | 673.30 Mn |
API Access
Lithia Motors Operating Expenses 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-expenses&ticker=LAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=LAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();