Penske Automotive (PAG) Long-Term Debt Repayments (2009 - 2026)
Penske Automotive's Long-Term Debt Repayments was $1.03 billion in Q2 2026, down 21.5% from $1.31 billion a year earlier and down 19.5% from the prior quarter.
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Analysis
Penske Automotive (PAG) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Penske Automotive's Long-Term Debt Repayments was $5.02 billion through Jun 30, 2026, up 3.0% year-over-year; for FY2025, it was $5.17 billion, up 23.5% from FY2024.
- Long-Term Debt Repayments has now increased for five consecutive years, with a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $4.18 billion in FY2024 (+29.6%), $3.23 billion in FY2023 (+53.6%), $2.1 billion in FY2022 (+7.0%) and $1.96 billion in FY2021 (+13.3%).
- The Q2 2026 figure marks the lowest quarterly Long-Term Debt Repayments since Q1 2024.
- Compared with a year earlier, Long-Term Debt Repayments was higher in six of the last eight quarters, with growth averaging 18.9%.
- The best year-over-year quarter for Long-Term Debt Repayments over five years was Q4 2023 (growth of 75.6%); the worst was Q4 2021 (a decline of 49.7%).
- Per Business Quant data, PAG's Long-Term Debt Repayments in the three quarters before Q2 2026 was $1.27 billion (Q1 2026), $1.12 billion (Q4 2025) and $1.6 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 2.75 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 1.62 Bn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | 21.00 Mn |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | - |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 21.00 Mn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 38.00 Mn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 345.90 Mn |
| 10 | Penske Automotive | 12.88 Bn | 12.60 Bn | 1.36 Bn | 1.03 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.03 Bn |
| Mar 31, 2026 | 1.27 Bn |
| Dec 31, 2025 | 1.12 Bn |
| Sep 30, 2025 | 1.60 Bn |
| Jun 30, 2025 | 1.31 Bn |
| Mar 31, 2025 | 1.14 Bn |
| Dec 31, 2024 | 1.20 Bn |
| Sep 30, 2024 | 1.23 Bn |
| Jun 30, 2024 | 1.06 Bn |
| Mar 31, 2024 | 700.20 Mn |
| Dec 31, 2023 | 1.03 Bn |
| Sep 30, 2023 | 908.90 Mn |
| Jun 30, 2023 | 776.00 Mn |
| Mar 31, 2023 | 512.00 Mn |
| Dec 31, 2022 | 587.00 Mn |
| Sep 30, 2022 | 540.00 Mn |
| Jun 30, 2022 | 565.00 Mn |
| Mar 31, 2022 | 409.00 Mn |
| Dec 31, 2021 | 369.00 Mn |
| Sep 30, 2021 | 400.00 Mn |
API Access
Penske Automotive 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=PAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PAG", "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=PAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();