Lithia Motors (LAD) Short-Term Debt repayments (2011 - 2026)
Lithia Motors' Short-Term Debt repayments came in at $2.45 billion for Q2 2026, down 17.5% from $2.97 billion a year earlier and down 41.9% from the prior quarter.
Lithia Motors (LAD) Short-Term Debt repayments (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Lithia Motors reported Short-Term Debt repayments of $15.66 billion, up 17.1% year-over-year; for FY2025, it came in at $15.81 billion, up 18.7% from FY2024.
- Short-Term Debt repayments has increased in each of the last five years, with a five-year compound annual growth rate of 52.2% (FY2020 to FY2025).
- Going back by year, Short-Term Debt repayments was $13.32 billion in FY2024 (+7.3%), $12.41 billion in FY2023 (+22.5%), $10.14 billion in FY2022 (+304.6%) and $2.51 billion in FY2021 (+29.4%).
- The Q2 2026 figure represents the lowest quarterly Short-Term Debt repayments since Q1 2022.
- Year-over-year, Short-Term Debt repayments increased in five of the last eight quarters, with growth averaging 13.5%.
- The fastest year-over-year change in Short-Term Debt repayments over five years came in Q4 2022 (growth of 209.9%), and the weakest in Q3 2021 (a decline of 75.1%).
- Business Quant data shows LAD's Short-Term Debt repayments at $4.22 billion (Q1 2026), $4.23 billion (Q4 2025) and $4.76 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,695.27 Bn | 2,211.96 Bn | 104.83 Bn | 9.57 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 | 1.24 Bn |
| 10 | Lithia Motors | 6.62 Bn | 5.08 Bn | 1.50 Bn | 2.46 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.46 Bn |
| Mar 31, 2026 | 4.22 Bn |
| Dec 31, 2025 | 4.23 Bn |
| Sep 30, 2025 | 4.79 Bn |
| Jun 30, 2025 | 2.97 Bn |
| Mar 31, 2025 | 3.86 Bn |
| Dec 31, 2024 | 3.70 Bn |
| Sep 30, 2024 | 2.87 Bn |
| Jun 30, 2024 | 3.17 Bn |
| Mar 31, 2024 | 3.61 Bn |
| Dec 31, 2023 | 2.75 Bn |
| Sep 30, 2023 | 2.90 Bn |
| Jun 30, 2023 | 3.29 Bn |
| Mar 31, 2023 | 3.50 Bn |
| Dec 31, 2022 | 2.71 Bn |
| Sep 30, 2022 | 2.91 Bn |
| Jun 30, 2022 | 2.51 Bn |
| Mar 31, 2022 | 2.03 Bn |
| Dec 31, 2021 | 873.60 Mn |
| Sep 30, 2021 | 112.10 Mn |
Lithia Motors Short-Term Debt repayments 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=short-term-debt-repayments&ticker=LAD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "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=short-term-debt-repayments&ticker=LAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();