Penske Automotive (PAG) Other Non-Current Liabilities (2009 - 2026)
Penske Automotive's Other Non-Current Liabilities was $261 million in Q2 2026, up 1.1% from $258.1 million a year earlier and up 8.8% from the prior quarter.
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Analysis
Penske Automotive (PAG) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Other Non-Current Liabilities at Penske Automotive came in at $265.3 million, up 3.8% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of -8.8% (FY2020 to FY2025).
- In earlier years, Other Non-Current Liabilities was $255.5 million in FY2024 (-5.6%), $270.8 million in FY2023 (+21.4%), $223.1 million in FY2022 (-17.1%) and $269 million in FY2021 (-36.1%).
- Quarterly Other Non-Current Liabilities has moved between $200 million (Q3 2022) and $315 million (Q3 2021) over five years.
- Compared with a year earlier, Other Non-Current Liabilities was higher in four of the last eight quarters, with an average decline of 1.6%.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was Q3 2023 (growth of 29.8%); the worst was Q1 2022 (a decline of 38.5%).
- Per Business Quant data, PAG's Other Non-Current Liabilities in the three quarters before Q2 2026 was $239.9 million (Q1 2026), $265.3 million (Q4 2025) and $258.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 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 |
| 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 |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn |
| 10 | Penske Automotive | 12.88 Bn | 12.60 Bn | 1.36 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 261.00 Mn |
| Mar 31, 2026 | 239.90 Mn |
| Dec 31, 2025 | 265.30 Mn |
| Sep 30, 2025 | 258.40 Mn |
| Jun 30, 2025 | 258.10 Mn |
| Mar 31, 2025 | 247.60 Mn |
| Dec 31, 2024 | 255.50 Mn |
| Sep 30, 2024 | 264.70 Mn |
| Jun 30, 2024 | 253.30 Mn |
| Mar 31, 2024 | 275.80 Mn |
| Dec 31, 2023 | 270.80 Mn |
| Sep 30, 2023 | 259.60 Mn |
| Jun 30, 2023 | 239.90 Mn |
| Mar 31, 2023 | 223.20 Mn |
| Dec 31, 2022 | 223.10 Mn |
| Sep 30, 2022 | 200.00 Mn |
| Jun 30, 2022 | 222.50 Mn |
| Mar 31, 2022 | 239.00 Mn |
| Dec 31, 2021 | 269.00 Mn |
| Sep 30, 2021 | 315.00 Mn |
API Access
Penske Automotive Other 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=other-non-current-liabilities&ticker=PAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=PAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();