Penske Automotive (PAG) Tax Provisions (2009 - 2026)
Penske Automotive's Tax Provisions was $80.8 million in Q3 2026, up 2.7% from $78.7 million a year earlier but down 12.7% from the prior quarter.
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Analysis
Penske Automotive (PAG) Tax Provisions (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Penske Automotive's Tax Provisions was $331.2 million through Sep 30, 2026, down 1.0% year-over-year; for FY2025, it came in at $325.8 million, up 2.9% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of 14.9% (FY2020 to FY2025).
- In earlier years, Tax Provisions was $316.5 million in FY2024 (-12.3%), $360.9 million in FY2023 (-23.7%), $473 million in FY2022 (+13.6%) and $416.3 million in FY2021 (+155.9%).
- Quarterly Tax Provisions has moved between $63.8 million (Q4 2023) and $128.1 million (Q1 2022) over five years.
- Compared with a year earlier, Tax Provisions was higher in six of the last eight quarters, with growth averaging 5.1%.
- The best year-over-year quarter for Tax Provisions over five years was Q1 2022 (growth of 98.6%); the worst was Q4 2023 (a decline of 33.2%).
- Per Business Quant data, PAG's Tax Provisions in the three quarters before Q3 2026 was $92.6 million (Q2 2026), $88.8 million (Q1 2026) and $69 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,583.91 Bn | 2,583.91 Bn | - | 6.18 Bn |
| 2 | Home Depot | 327.32 Bn | 320.57 Bn | 16.12 Bn | 1.55 Bn |
| 3 | Tjx Companies | 155.16 Bn | 132.70 Bn | 5.07 Bn | 498.00 Mn |
| 4 | Lowes Companies | 116.41 Bn | 109.37 Bn | 8.58 Bn | 776.00 Mn |
| 5 | O Reilly Automotive | 72.96 Bn | 72.96 Bn | 2.68 Bn | 236.51 Mn |
| 6 | Ross Stores | 72.59 Bn | 55.51 Bn | 2.12 Bn | 283.46 Mn |
| 7 | Target | 69.63 Bn | 64.22 Bn | 8.94 Bn | 582.00 Mn |
| 8 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 236.65 Mn |
| 9 | Carvana | 49.71 Bn | 39.29 Bn | 1.52 Bn | 69.00 Mn |
| 10 | Penske Automotive | 13.95 Bn | 13.66 Bn | 1.32 Bn | 80.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 80.80 Mn |
| Jun 30, 2026 | 92.60 Mn |
| Mar 31, 2026 | 88.80 Mn |
| Dec 31, 2025 | 69.00 Mn |
| Sep 30, 2025 | 78.70 Mn |
| Jun 30, 2025 | 86.00 Mn |
| Mar 31, 2025 | 92.10 Mn |
| Dec 31, 2024 | 77.90 Mn |
| Sep 30, 2024 | 77.40 Mn |
| Jun 30, 2024 | 82.60 Mn |
| Mar 31, 2024 | 78.60 Mn |
| Dec 31, 2023 | 63.80 Mn |
| Sep 30, 2023 | 92.10 Mn |
| Jun 30, 2023 | 97.70 Mn |
| Mar 31, 2023 | 107.30 Mn |
| Dec 31, 2022 | 95.50 Mn |
| Sep 30, 2022 | 125.70 Mn |
| Jun 30, 2022 | 123.70 Mn |
| Mar 31, 2022 | 128.10 Mn |
| Dec 31, 2021 | 108.30 Mn |
API Access
Penske Automotive Tax Provisions 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=tax-provisions&ticker=PAG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=PAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();