Lithia Motors (LAD) Accumulated Expenses (2010 - 2026)
Lithia Motors (LAD) reported Accumulated Expenses of $1.23 billion for Q2 2026, up 4.4% from $1.18 billion a year earlier but down 1.5% from the prior quarter.
Powered by 
Analysis
Lithia Motors (LAD) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Lithia Motors posted Accumulated Expenses of $1.21 billion, up 8.2% from FY2024.
- Accumulated Expenses has increased for 15 consecutive years, with a five-year compound annual growth rate of 21.5% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $1.12 billion in FY2024 (+24.8%), $899.1 million in FY2023 (+14.9%), $782.7 million in FY2022 (+3.9%) and $753.6 million in FY2021 (+64.4%).
- Five-year quarterly Accumulated Expenses spans a low of $708.5 million in Q3 2021 and a high of $1.25 billion in Q1 2026.
- Year over year, Accumulated Expenses has now increased in each of the last four quarters, with growth averaging 9.8% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q3 2021 (growth of 76.2%); the low point was Q2 2025 (a decline of 1.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.25 billion (Q1 2026), $1.21 billion (Q4 2025) and $1.21 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,695.27 Bn | 2,211.96 Bn | 104.83 Bn |
| 2 | Home Depot | 307.61 Bn | 300.85 Bn | 16.12 Bn |
| 3 | Tjx Companies | 162.46 Bn | 140.01 Bn | 5.07 Bn |
| 4 | Lowes Companies | 110.17 Bn | 103.13 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.13 Bn | 58.06 Bn | 2.12 Bn |
| 6 | O Reilly Automotive | 73.69 Bn | 72.77 Bn | 2.52 Bn |
| 7 | Target | 70.25 Bn | 64.84 Bn | 8.94 Bn |
| 8 | Autozone | 51.37 Bn | 50.27 Bn | 2.52 Bn |
| 9 | Carvana | 42.21 Bn | 32.71 Bn | 1.38 Bn |
| 10 | Lithia Motors | 6.62 Bn | 5.08 Bn | 1.50 Bn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();