Penske Automotive (PAG) Cash & Equivalents (2009 - 2026)
Penske Automotive (PAG) reported Cash & Equivalents of $69.5 million for Q2 2026, down 55.2% from $155.3 million a year earlier and down 17.0% from the prior quarter.
Penske Automotive (PAG) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Penske Automotive posted Cash & Equivalents of $64.7 million, down 22.6% from FY2024.
- Cash & Equivalents has declined for three consecutive years, though with a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- By year, Cash & Equivalents came in at $83.6 million in FY2024 (-13.3%), $96.4 million in FY2023 (-9.5%), $106.5 million in FY2022 (+5.8%) and $100.7 million in FY2021 (+103.4%).
- Five-year quarterly Cash & Equivalents spans a low of $64.7 million in Q4 2025 and a high of $170.3 million in Q1 2022.
- Year over year, Cash & Equivalents has now declined in each of the last four quarters, with an average decline of 13.6% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was Q4 2021 (growth of 103.4%); the low point was Q2 2026 (a decline of 55.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $83.7 million (Q1 2026), $64.7 million (Q4 2025) and $80.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | 4.29 Bn |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | 262.18 Mn |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 2.63 Bn |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | - |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 253.73 Mn |
| 10 | Penske Automotive | 12.88 Bn | 12.60 Bn | 1.36 Bn | 69.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.50 Mn |
| Mar 31, 2026 | 83.70 Mn |
| Dec 31, 2025 | 64.70 Mn |
| Sep 30, 2025 | 80.30 Mn |
| Jun 30, 2025 | 155.30 Mn |
| Mar 31, 2025 | 118.40 Mn |
| Dec 31, 2024 | 83.60 Mn |
| Sep 30, 2024 | 91.90 Mn |
| Jun 30, 2024 | 115.10 Mn |
| Mar 31, 2024 | 116.90 Mn |
| Dec 31, 2023 | 96.40 Mn |
| Sep 30, 2023 | 104.40 Mn |
| Jun 30, 2023 | 119.60 Mn |
| Mar 31, 2023 | 100.60 Mn |
| Dec 31, 2022 | 106.50 Mn |
| Sep 30, 2022 | 92.30 Mn |
| Jun 30, 2022 | 154.90 Mn |
| Mar 31, 2022 | 170.30 Mn |
| Dec 31, 2021 | 100.70 Mn |
| Sep 30, 2021 | 119.20 Mn |
Penske Automotive Cash & Equivalents 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=cash-and-equivalents&ticker=PAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=PAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();