Penske Automotive (PAG) Total Non-Current Liabilities (2009 - 2026)
Penske Automotive's Total Non-Current Liabilities came in at $12.39 billion for Q2 2026, up 9.6% from $11.3 billion a year earlier and unchanged from the prior quarter.
Penske Automotive (PAG) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Penske Automotive's Total Non-Current Liabilities was $11.1 billion, down 14.6% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 0.3% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $13 billion in FY2024 (-16.3%), $15.55 billion in FY2023 (+32.7%), $11.72 billion in FY2022 (+8.7%) and $10.79 billion in FY2021 (-1.5%).
- The five-year range for quarterly Total Non-Current Liabilities is $8.54 billion (Q3 2021) to $15.55 billion (Q4 2023).
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with growth averaging 0.3%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2023 (growth of 32.7%), and the weakest in Q4 2024 (a decline of 16.3%).
- Business Quant data shows PAG's Total Non-Current Liabilities at $12.4 billion (Q1 2026), $11.1 billion (Q4 2025) and $11.14 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 464.51 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 89.94 Bn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 25.30 Bn |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | 62.52 Bn |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | 8.94 Bn |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | 18.95 Bn |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 7.19 Bn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 22.21 Bn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 22.81 Bn |
| 10 | Penske Automotive | 12.88 Bn | 12.60 Bn | 1.36 Bn | 12.39 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 12.39 Bn |
| Mar 31, 2026 | 12.40 Bn |
| Dec 31, 2025 | 11.10 Bn |
| Sep 30, 2025 | 11.14 Bn |
| Jun 30, 2025 | 11.30 Bn |
| Mar 31, 2025 | 11.07 Bn |
| Dec 31, 2024 | 13.00 Bn |
| Sep 30, 2024 | 11.57 Bn |
| Jun 30, 2024 | 11.39 Bn |
| Mar 31, 2024 | 11.02 Bn |
| Dec 31, 2023 | 15.55 Bn |
| Sep 30, 2023 | 10.00 Bn |
| Jun 30, 2023 | 10.15 Bn |
| Mar 31, 2023 | 9.82 Bn |
| Dec 31, 2022 | 11.72 Bn |
| Sep 30, 2022 | 9.30 Bn |
| Jun 30, 2022 | 9.06 Bn |
| Mar 31, 2022 | 9.26 Bn |
| Dec 31, 2021 | 10.79 Bn |
| Sep 30, 2021 | 8.54 Bn |
Penske Automotive Total Non-Current 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-non-current-liabilities&ticker=PAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();