Lithia Motors (LAD) Accumulated Expenses (2010 - 2026)
Lithia Motors' (LAD) quarterly Accumulated Expenses came in at $1.2 billion in Q2 2026, up 4.44% year-over-year from $1.2 billion in Q2 2025, and down 1.46% quarter-over-quarter from $1.2 billion in Q1 2026.
Lithia Motors (LAD) Accumulated Expenses (2010 - 2026) Analysis & Trends
Lithia Motors has disclosed Accumulated Expenses across 17 years of filings, most recently posting $1.2 billion for Q2 2026.
- In Q2 2026, Accumulated Expenses rose 4.44% year-over-year to $1.2 billion; the TTM figure through Jun 2026 stood at $1.2 billion (up 4.44% YoY), while the FY2025 annual figure was $1.2 billion, up 8.22% from the prior year.
- Accumulated Expenses came in at $1.2 billion for Q2 2026 at Lithia Motors, down from $1.2 billion in the prior quarter.
- In the past five years, Accumulated Expenses ranged from a high of $1.2 billion in Q1 2026 to a low of $756.6 million in Q2 2022.
- Average Accumulated Expenses over 5 years is $1.0 billion, with a median of $1.1 billion recorded in 2024.
- Year-over-year, Accumulated Expenses soared 68.41% in 2022 and fell 1.75% in 2025.
- Over 5 years, Accumulated Expenses stood at $782.7 million in 2022, then increased by 14.87% to $899.1 million in 2023, then climbed by 24.81% to $1.1 billion in 2024, then advanced by 8.22% to $1.2 billion in 2025, then rose by 1.21% to $1.2 billion in 2026.
- Per Business Quant data, the three most recent Accumulated Expenses figures were $1.2 billion in Q2 2026, $1.2 billion in Q1 2026, and $1.2 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Carvana | 71.88 Bn | 70.24 Bn | 1.38 Bn |
| 2 | Penske Automotive | 13.78 Bn | 13.73 Bn | 1.36 Bn |
| 3 | Carmax | 8.07 Bn | 7.47 Bn | 854.41 Mn |
| 4 | Lithia Motors | 6.87 Bn | 6.53 Bn | 1.50 Bn |
| 5 | Autonation | 5.62 Bn | 5.57 Bn | 1.23 Bn |
| 6 | Uxin | 5.40 Bn | 5.46 Bn | 10.88 Mn |
| 7 | Sonic Automotive | 5.39 Bn | 5.37 Bn | 616.20 Mn |
| 8 | Asbury Automotive | 3.36 Bn | 3.32 Bn | 753.10 Mn |
| 9 | Group 1 Automotive | 3.02 Bn | 2.86 Bn | 860.60 Mn |
| 10 | Marinemax | 1.16 Bn | 994.87 Mn | 218.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.23 Bn |
| Mar 31, 2026 | 1.25 Bn |
| Dec 31, 2025 | 1.21 Bn |
| Sep 30, 2025 | 1.21 Bn |
| Jun 30, 2025 | 1.18 Bn |
| Mar 31, 2025 | 1.22 Bn |
| Dec 31, 2024 | 1.12 Bn |
| Sep 30, 2024 | 1.12 Bn |
| Jun 30, 2024 | 1.20 Bn |
| Mar 31, 2024 | 1.18 Bn |
| Dec 31, 2023 | 899.10 Mn |
| Sep 30, 2023 | 872.20 Mn |
| Jun 30, 2023 | 858.40 Mn |
| Mar 31, 2023 | 881.70 Mn |
| Dec 31, 2022 | 782.70 Mn |
| Sep 30, 2022 | 809.00 Mn |
| Jun 30, 2022 | 756.60 Mn |
| Mar 31, 2022 | 890.90 Mn |
| Dec 31, 2021 | 753.60 Mn |
| Sep 30, 2021 | 708.50 Mn |
Lithia Motors Accumulated 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=accumulated-expenses&ticker=LAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=LAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();