Lithia Motors (LAD) Change in Accured Expenses (2010 - 2026)
Lithia Motors' Change in Accured Expenses came in at -$34.1 million for Q2 2026, compared with -$92.2 million a year earlier.
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Analysis
Lithia Motors (LAD) Change in Accured Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lithia Motors reported Change in Accured Expenses of -$2.5 million; for FY2025, it was $14.8 million, down 51.9% from FY2024.
- Change in Accured Expenses carries a five-year compound annual growth rate of -33.4% (FY2020 to FY2025).
- Going back by year, Change in Accured 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 Accured Expenses is -$128.4 million (Q2 2022) to $111.6 million (Q1 2022).
- The fastest year-over-year change in Change in Accured 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 Accured 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 Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,695.27 Bn | 2,211.96 Bn | 104.83 Bn | -2.02 Bn |
| 2 | Home Depot | 307.61 Bn | 300.85 Bn | 16.12 Bn | -512.00 Mn |
| 3 | Tjx Companies | 162.46 Bn | 140.01 Bn | 5.07 Bn | 415.00 Mn |
| 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 | 595.00 Mn |
| 8 | Autozone | 51.37 Bn | 50.27 Bn | 2.52 Bn | 111.71 Mn |
| 9 | Carvana | 42.21 Bn | 32.71 Bn | 1.38 Bn | 199.00 Mn |
| 10 | Lithia Motors | 6.62 Bn | 5.08 Bn | 1.50 Bn | -34.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 92.60 Mn |
API Access
Lithia Motors Change in Accured 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();