Penske Automotive (PAG) Income Taxes Paid (2009 - 2026)
Penske Automotive's Income Taxes Paid came in at $139.9 million for Q2 2026, down 11.3% from $157.8 million a year earlier but up 708.7% from the prior quarter.
Penske Automotive (PAG) Income Taxes Paid (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Penske Automotive reported Income Taxes Paid of $247.4 million, down 26.7% year-over-year; for FY2025, it was $271.5 million, down 14.5% from FY2024.
- Income Taxes Paid carries a five-year compound annual growth rate of 72.3% (FY2020 to FY2025).
- Going back by year, Income Taxes Paid was $317.4 million in FY2024 (+10.2%), $288.1 million in FY2023 (-16.1%), $343.4 million in FY2022 (+114.5%) and $160.1 million in FY2021 (+794.4%).
- The five-year range for quarterly Income Taxes Paid is $17.3 million (Q1 2026) to $188.5 million (Q2 2023).
- Year-over-year, Income Taxes Paid has declined for four consecutive quarters, with growth averaging 16.9% over the last eight quarters.
- The fastest year-over-year change in Income Taxes Paid over five years came in Q4 2024 (growth of 137.5%), and the weakest in Q4 2023 (a decline of 71.4%).
- Business Quant data shows PAG's Income Taxes Paid at $17.3 million (Q1 2026), $53.9 million (Q4 2025) and $36.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes Paid (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,803.87 Bn | 2,300.54 Bn | 107.37 Bn | - |
| 2 | Home Depot | 341.42 Bn | 334.67 Bn | 16.12 Bn | 2.25 Bn |
| 3 | Tjx Companies | 149.33 Bn | 126.87 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 125.87 Bn | 118.84 Bn | 8.58 Bn | - |
| 5 | O Reilly Automotive | 74.24 Bn | 73.33 Bn | 2.52 Bn | 81.41 Mn |
| 6 | Ross Stores | 73.45 Bn | 56.37 Bn | 2.12 Bn | 389.75 Mn |
| 7 | Target | 71.89 Bn | 66.48 Bn | 8.94 Bn | - |
| 8 | Carvana | 53.03 Bn | 42.62 Bn | 1.52 Bn | - |
| 9 | Autozone | 52.99 Bn | 51.84 Bn | 3.52 Bn | - |
| 10 | Penske Automotive | 13.96 Bn | 13.68 Bn | 1.32 Bn | 56.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 56.80 Mn |
| Jun 30, 2026 | 139.90 Mn |
| Mar 31, 2026 | 17.30 Mn |
| Dec 31, 2025 | 53.90 Mn |
| Sep 30, 2025 | 36.30 Mn |
| Jun 30, 2025 | 157.80 Mn |
| Mar 31, 2025 | 23.50 Mn |
| Dec 31, 2024 | 60.80 Mn |
| Sep 30, 2024 | 95.30 Mn |
| Jun 30, 2024 | 138.80 Mn |
| Mar 31, 2024 | 22.50 Mn |
| Dec 31, 2023 | 25.60 Mn |
| Sep 30, 2023 | 50.10 Mn |
| Jun 30, 2023 | 188.50 Mn |
| Mar 31, 2023 | 23.90 Mn |
| Dec 31, 2022 | 89.60 Mn |
| Sep 30, 2022 | 94.90 Mn |
| Jun 30, 2022 | 139.60 Mn |
| Mar 31, 2022 | 19.30 Mn |
| Dec 31, 2021 | 115.60 Mn |
Penske Automotive Income Taxes Paid 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=income-taxes-paid&ticker=PAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "income-taxes-paid", "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=income-taxes-paid&ticker=PAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();