Lithia Motors (LAD) Change in Accrued Expenses (2010 - 2026)
Lithia Motors' Change in Accrued Expenses came in at -$34.1 million for Q2 2026, compared with -$92.2 million a year earlier.
Powered by 
Analysis
Lithia Motors (LAD) Change in Accrued Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lithia Motors reported Change in Accrued Expenses of -$2.5 million; for FY2025, it was $14.8 million, down 51.9% from FY2024.
- Change in Accrued Expenses carries a five-year compound annual growth rate of -33.4% (FY2020 to FY2025).
- Going back by year, Change in Accrued Expenses was $30.8 million in FY2024 (+45.3%), $21.2 million in FY2023, -$2.3 million in FY2022 and $233 million in FY2021 (+106.0%).
- The five-year range for quarterly Change in Accrued Expenses is -$128.4 million (Q2 2022) to $111.6 million (Q1 2022).
- The fastest year-over-year change in Change in Accrued Expenses over five years came in Q3 2021 (growth of 712.3%), and the weakest in Q1 2026 (a decline of 72.7%).
- Business Quant data shows LAD's Change in Accrued Expenses at $28.3 million (Q1 2026), -$38 million (Q4 2025) and $41.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | -3.85 Bn |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | 415.00 Mn |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | - |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | - |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | 595.00 Mn |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | 113.00 Mn |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | 111.08 Mn |
| 10 | Lithia Motors | 6.78 Bn | 5.28 Bn | 1.50 Bn | 60.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 60.70 Mn |
| Jun 30, 2026 | -34.10 Mn |
| Mar 31, 2026 | 28.30 Mn |
| Dec 31, 2025 | -38.00 Mn |
| Sep 30, 2025 | 41.30 Mn |
| Jun 30, 2025 | -92.20 Mn |
| Mar 31, 2025 | 103.70 Mn |
| Dec 31, 2024 | 37.00 Mn |
| Sep 30, 2024 | -75.30 Mn |
| Jun 30, 2024 | 11.60 Mn |
| Mar 31, 2024 | 57.50 Mn |
| Dec 31, 2023 | 11.50 Mn |
| Sep 30, 2023 | 20.70 Mn |
| Jun 30, 2023 | -42.70 Mn |
| Mar 31, 2023 | 31.70 Mn |
| Dec 31, 2022 | -21.40 Mn |
| Sep 30, 2022 | 35.90 Mn |
| Jun 30, 2022 | -128.40 Mn |
| Mar 31, 2022 | 111.60 Mn |
| Dec 31, 2021 | -3.90 Mn |
API Access
Lithia Motors Change in Accrued 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=change-in-accured-expenses&ticker=LAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=LAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();