Penske Automotive (PAG) Accumulated Expenses (2009 - 2026)
Penske Automotive's Accumulated Expenses came in at $1.02 billion for Q2 2026, up 1.2% from $1 billion a year earlier but down 2.8% from the prior quarter.
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Analysis
Penske Automotive (PAG) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Penske Automotive's Accumulated Expenses was $930 million, up 1.4% from FY2024.
- Accumulated Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 3.9% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $917.4 million in FY2024 (+13.3%), $809.8 million in FY2023 (+2.8%), $788.1 million in FY2022 (-9.4%) and $870.3 million in FY2021 (+13.4%).
- The five-year range for quarterly Accumulated Expenses is $788.1 million (Q4 2022) to $1.05 billion (Q1 2026).
- Year-over-year, Accumulated Expenses has increased for 12 consecutive quarters, with growth averaging 7.8% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2021 (growth of 19.1%), and the weakest in Q3 2022 (a decline of 11.8%).
- Business Quant data shows PAG's Accumulated Expenses at $1.05 billion (Q1 2026), $930 million (Q4 2025) and $967.7 million (Q3 2025) in the three quarters before Q2 2026.
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 | 1.02 Bn |
| Mar 31, 2026 | 1.05 Bn |
| Dec 31, 2025 | 930.00 Mn |
| Sep 30, 2025 | 967.70 Mn |
| Jun 30, 2025 | 1.00 Bn |
| Mar 31, 2025 | 983.60 Mn |
| Dec 31, 2024 | 917.40 Mn |
| Sep 30, 2024 | 907.50 Mn |
| Jun 30, 2024 | 916.90 Mn |
| Mar 31, 2024 | 876.00 Mn |
| Dec 31, 2023 | 809.80 Mn |
| Sep 30, 2023 | 813.90 Mn |
| Jun 30, 2023 | 823.10 Mn |
| Mar 31, 2023 | 861.10 Mn |
| Dec 31, 2022 | 788.10 Mn |
| Sep 30, 2022 | 813.20 Mn |
| Jun 30, 2022 | 853.10 Mn |
| Mar 31, 2022 | 896.50 Mn |
| Dec 31, 2021 | 870.30 Mn |
| Sep 30, 2021 | 922.40 Mn |
API Access
Penske Automotive Accumulated Expenses 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=accumulated-expenses&ticker=PAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=PAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();