Penske Automotive (PAG) Total Liabilities (2009 - 2026)
Penske Automotive (PAG) reported Total Liabilities of $12.46 billion for Q3 2026, up 9.4% from $11.39 billion a year earlier but down 1.5% from the prior quarter.
Penske Automotive (PAG) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Penske Automotive posted Total Liabilities of $12.02 billion, up 2.7% from FY2024.
- Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $11.7 billion in FY2024 (+7.2%), $10.92 billion in FY2023 (+11.8%), $9.76 billion in FY2022 (+4.2%) and $9.37 billion in FY2021 (-5.6%).
- Five-year quarterly Total Liabilities spans a low of $9.28 billion in Q2 2022 and a high of $12.65 billion in Q2 2026.
- Year over year, Total Liabilities has now increased in each of the last four quarters, with growth averaging 4.5% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q3 2024 (growth of 15.3%); the low point was Q4 2021 (a decline of 5.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $12.65 billion (Q2 2026), $12.64 billion (Q1 2026) and $12.02 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,583.91 Bn | 2,583.91 Bn | - | - |
| 2 | Home Depot | 327.32 Bn | 320.57 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 155.16 Bn | 132.70 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 116.41 Bn | 109.37 Bn | 8.58 Bn | 63.32 Bn |
| 5 | O Reilly Automotive | 72.96 Bn | 72.96 Bn | 2.68 Bn | - |
| 6 | Ross Stores | 72.59 Bn | 55.51 Bn | 2.12 Bn | 9.24 Bn |
| 7 | Target | 69.63 Bn | 64.22 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 24.13 Bn |
| 9 | Carvana | 49.71 Bn | 39.29 Bn | 1.52 Bn | 9.54 Bn |
| 10 | Penske Automotive | 13.95 Bn | 13.66 Bn | 1.32 Bn | 12.46 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.46 Bn |
| Jun 30, 2026 | 12.65 Bn |
| Mar 31, 2026 | 12.64 Bn |
| Dec 31, 2025 | 12.02 Bn |
| Sep 30, 2025 | 11.39 Bn |
| Jun 30, 2025 | 11.56 Bn |
| Mar 31, 2025 | 11.32 Bn |
| Dec 31, 2024 | 11.70 Bn |
| Sep 30, 2024 | 11.83 Bn |
| Jun 30, 2024 | 11.65 Bn |
| Mar 31, 2024 | 11.30 Bn |
| Dec 31, 2023 | 10.92 Bn |
| Sep 30, 2023 | 10.26 Bn |
| Jun 30, 2023 | 10.39 Bn |
| Mar 31, 2023 | 10.04 Bn |
| Dec 31, 2022 | 9.76 Bn |
| Sep 30, 2022 | 9.50 Bn |
| Jun 30, 2022 | 9.28 Bn |
| Mar 31, 2022 | 9.50 Bn |
| Dec 31, 2021 | 9.37 Bn |
Penske Automotive Total Liabilities 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=total-liabilities&ticker=PAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();