Penske Automotive (PAG) Depreciation and Depletion (2009 - 2026)
Penske Automotive (PAG) posted Depreciation and Depletion of $45.4 million for Q2 2026, up 5.3% from $43.1 million a year earlier and up 1.3% from the prior quarter.
Penske Automotive (PAG) Depreciation and Depletion (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation and Depletion at Penske Automotive was $180.5 million, up 7.1% year-over-year; for FY2025, it was $172.3 million, up 6.8% from FY2024.
- Annual Depreciation and Depletion has increased for 15 consecutive years, with a five-year compound annual growth rate of 8.3% (FY2020 to FY2025).
- In prior years, Penske Automotive's Depreciation and Depletion was $161.3 million in FY2024 (+12.2%), $143.7 million in FY2023 (+12.9%), $127.3 million in FY2022 (+4.8%) and $121.5 million in FY2021 (+5.2%).
- Quarterly Depreciation and Depletion has run from a low of $30.2 million in Q3 2021 to a high of $47.4 million in Q4 2025 over five years.
- On a year-over-year basis, Depreciation and Depletion has increased in each of the last 36 quarters, with growth averaging 9.0% over the last eight quarters.
- The year-over-year growth in Depreciation and Depletion has ranged between 1.3% (Q4 2022) and 25.2% (Q4 2023) over the last five years.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $44.8 million (Q1 2026), $47.4 million (Q4 2025) and $42.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,829.78 Bn | 2,346.48 Bn | 104.83 Bn | 13.87 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 | 339.00 Mn |
| 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 | 45.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.40 Mn |
| Mar 31, 2026 | 44.80 Mn |
| Dec 31, 2025 | 47.40 Mn |
| Sep 30, 2025 | 42.90 Mn |
| Jun 30, 2025 | 43.10 Mn |
| Mar 31, 2025 | 40.60 Mn |
| Dec 31, 2024 | 44.30 Mn |
| Sep 30, 2024 | 40.60 Mn |
| Jun 30, 2024 | 38.60 Mn |
| Mar 31, 2024 | 37.80 Mn |
| Dec 31, 2023 | 40.30 Mn |
| Sep 30, 2023 | 35.40 Mn |
| Jun 30, 2023 | 34.10 Mn |
| Mar 31, 2023 | 33.90 Mn |
| Dec 31, 2022 | 32.20 Mn |
| Sep 30, 2022 | 31.50 Mn |
| Jun 30, 2022 | 31.70 Mn |
| Mar 31, 2022 | 31.90 Mn |
| Dec 31, 2021 | 31.80 Mn |
| Sep 30, 2021 | 30.20 Mn |
Penske Automotive Depreciation and Depletion 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=depreciation-and-depletion&ticker=PAG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=PAG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();