Penske Automotive (PAG) Net Margin (2009 - 2026)
Penske Automotive (PAG) posted Net Margin of 3.06% for Q2 2026, down 0.26 percentage points from 3.32% a year earlier but up 0.08 percentage points from the prior quarter.
Penske Automotive (PAG) Net Margin (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Net Margin at Penske Automotive was 2.81%, down 0.35 percentage points year-over-year; for FY2025, it came in at 2.94%, down 0.10 percentage points from FY2024.
- Annual Net Margin has declined for three consecutive years, though with a five-year change of +0.28 percentage points (FY2020 to FY2025).
- In prior years, Penske Automotive's Net Margin was 3.04% in FY2024 (-0.55 pp), 3.59% in FY2023 (-1.37 pp), 4.96% in FY2022 (+0.31 pp) and 4.65% in FY2021 (+1.99 pp).
- Quarterly Net Margin has run from a low of 2.40% in Q4 2025 to a high of 5.47% in Q3 2021 over five years.
- On a year-over-year basis, Net Margin has declined in each of the last four quarters, with an average year-over-year change of -0.15 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Net Margin in the past five years was Q1 2022, with a gain of 2.11 percentage points; the weakest was Q4 2023, with a drop of 1.41 percentage points.
- According to Business Quant data, Net Margin for the three prior quarters was 2.98% (Q1 2026), 2.40% (Q4 2025) and 2.79% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 31.23% |
| 2 | Home Depot | 290.18 Bn | 283.42 Bn | 16.12 Bn | 9.96% |
| 3 | Tjx Companies | 152.80 Bn | 130.34 Bn | 5.07 Bn | 10.01% |
| 4 | Lowes Companies | 104.32 Bn | 97.29 Bn | 8.58 Bn | 9.24% |
| 5 | Ross Stores | 71.10 Bn | 54.02 Bn | 2.12 Bn | 13.59% |
| 6 | O Reilly Automotive | 70.56 Bn | 69.64 Bn | 2.52 Bn | 14.62% |
| 7 | Carvana | 70.07 Bn | 61.67 Bn | 1.38 Bn | 4.20% |
| 8 | Target | 69.82 Bn | 64.41 Bn | 8.94 Bn | 7.07% |
| 9 | Autozone | 48.00 Bn | 46.90 Bn | 2.52 Bn | 13.25% |
| 10 | Penske Automotive | 12.88 Bn | 12.60 Bn | 1.36 Bn | 3.06% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.06% |
| Mar 31, 2026 | 2.98% |
| Dec 31, 2025 | 2.40% |
| Sep 30, 2025 | 2.79% |
| Jun 30, 2025 | 3.32% |
| Mar 31, 2025 | 3.24% |
| Dec 31, 2024 | 3.09% |
| Sep 30, 2024 | 3.01% |
| Jun 30, 2024 | 3.16% |
| Mar 31, 2024 | 2.91% |
| Dec 31, 2023 | 2.84% |
| Sep 30, 2023 | 3.54% |
| Jun 30, 2023 | 4.03% |
| Mar 31, 2023 | 4.06% |
| Dec 31, 2022 | 4.25% |
| Sep 30, 2022 | 4.91% |
| Jun 30, 2022 | 5.41% |
| Mar 31, 2022 | 5.27% |
| Dec 31, 2021 | 4.94% |
| Sep 30, 2021 | 5.47% |
Penske Automotive Net Margin 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=net-margin&ticker=PAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=PAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();