Lithia Motors (LAD) Long-Term Debt Repayments (2010 - 2026)
Lithia Motors' Long-Term Debt Repayments was $418.2 million in Q2 2026, up 30.0% from $321.8 million a year earlier and up 12.4% from the prior quarter.
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Analysis
Lithia Motors (LAD) Long-Term Debt Repayments (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Lithia Motors' Long-Term Debt Repayments was $1.47 billion through Jun 30, 2026, up 26.7% year-over-year; for FY2025, it came in at $1.31 billion, up 38.3% from FY2024.
- Long-Term Debt Repayments has now increased for four consecutive years, with a four-year compound annual growth rate of 164.6% (FY2021 to FY2025).
- In earlier years, Long-Term Debt Repayments was $950.2 million in FY2024 (+61.2%), $589.5 million in FY2023 (+204.7%), $193.5 million in FY2022 (+622.0%) and $26.8 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Long-Term Debt Repayments in data going back to Q3 2010.
- Compared with a year earlier, Long-Term Debt Repayments has increased for 14 straight quarters, with growth averaging 36.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Long-Term Debt Repayments ran from 20.2% in Q1 2026 to 238.5% in Q4 2023.
- Per Business Quant data, LAD's Long-Term Debt Repayments in the three quarters before Q2 2026 was $372.1 million (Q1 2026), $355 million (Q4 2025) and $327.6 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,695.27 Bn | 2,211.96 Bn | 104.83 Bn | 3.21 Bn |
| 2 | Home Depot | 307.61 Bn | 300.85 Bn | 16.12 Bn | 1.62 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 | 21.00 Mn |
| 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 | 38.00 Mn |
| 8 | Autozone | 51.37 Bn | 50.27 Bn | 2.52 Bn | 428.06 Mn |
| 9 | Carvana | 42.21 Bn | 32.71 Bn | 1.38 Bn | 21.00 Mn |
| 10 | Lithia Motors | 6.62 Bn | 5.08 Bn | 1.50 Bn | 430.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 430.20 Mn |
| Mar 31, 2026 | 384.70 Mn |
| Dec 31, 2025 | 366.00 Mn |
| Sep 30, 2025 | 337.20 Mn |
| Jun 30, 2025 | 331.80 Mn |
| Mar 31, 2025 | 319.60 Mn |
| Dec 31, 2024 | 324.50 Mn |
| Sep 30, 2024 | 252.90 Mn |
| Jun 30, 2024 | 225.20 Mn |
| Mar 31, 2024 | 212.50 Mn |
| Dec 31, 2023 | 194.50 Mn |
| Sep 30, 2023 | 201.20 Mn |
| Jun 30, 2023 | 143.80 Mn |
| Mar 31, 2023 | 85.20 Mn |
| Dec 31, 2022 | 63.60 Mn |
| Sep 30, 2022 | 85.10 Mn |
| Jun 30, 2022 | 33.10 Mn |
| Mar 31, 2022 | 62.90 Mn |
| Dec 31, 2021 | 34.60 Mn |
| Sep 30, 2021 | 12.10 Mn |
API Access
Lithia Motors Long-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=long-term-debt-repayments&ticker=LAD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-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=long-term-debt-repayments&ticker=LAD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();