Autonation (AN) Capital Expenditures (2009 - 2026)
Autonation's Capital Expenditures came in at $69.6 million for Q2 2026, down 11.9% from $79 million a year earlier but up 23.4% from the prior quarter.
Autonation (AN) Capital Expenditures (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Autonation reported Capital Expenditures of $281.2 million, down 6.7% year-over-year; for FY2025, it came in at $309.4 million, down 5.8% from FY2024.
- Capital Expenditures carries a five-year compound annual growth rate of 14.7% (FY2020 to FY2025).
- Going back by year, Capital Expenditures was $328.5 million in FY2024 (-19.9%), $410.3 million in FY2023 (+24.7%), $329 million in FY2022 (+52.5%) and $215.7 million in FY2021 (+38.3%).
- The five-year range for quarterly Capital Expenditures is $45.1 million (Q3 2021) to $124.3 million (Q4 2023).
- Year-over-year, Capital Expenditures increased in 1 of the last eight quarters, with an average decline of 13.1%.
- The fastest year-over-year change in Capital Expenditures over five years came in Q4 2022 (growth of 70.6%), and the weakest in Q4 2024 (a decline of 46.7%).
- Business Quant data shows AN's Capital Expenditures at $56.4 million (Q1 2026), $86.3 million (Q4 2025) and $68.9 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.65 Bn | 2,343.34 Bn | 104.83 Bn | 54.21 Bn |
| 2 | Home Depot | 307.75 Bn | 300.99 Bn | 16.12 Bn | 880.00 Mn |
| 3 | Tjx Companies | 162.60 Bn | 140.14 Bn | 5.07 Bn | 497.00 Mn |
| 4 | Lowes Companies | 109.37 Bn | 102.33 Bn | 8.58 Bn | 542.00 Mn |
| 5 | Ross Stores | 75.83 Bn | 58.75 Bn | 2.12 Bn | 251.26 Mn |
| 6 | O Reilly Automotive | 73.47 Bn | 72.55 Bn | 2.52 Bn | 307.60 Mn |
| 7 | Target | 69.62 Bn | 64.21 Bn | 8.94 Bn | 1.37 Bn |
| 8 | Autozone | 51.01 Bn | 49.91 Bn | 2.52 Bn | 345.51 Mn |
| 9 | Carvana | 42.20 Bn | 32.69 Bn | 1.38 Bn | 51.00 Mn |
| 10 | Autonation | 5.36 Bn | 5.08 Bn | 1.23 Bn | 69.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 69.60 Mn |
| Mar 31, 2026 | 56.40 Mn |
| Dec 31, 2025 | 86.30 Mn |
| Sep 30, 2025 | 68.90 Mn |
| Jun 30, 2025 | 79.00 Mn |
| Mar 31, 2025 | 75.20 Mn |
| Dec 31, 2024 | 66.30 Mn |
| Sep 30, 2024 | 81.00 Mn |
| Jun 30, 2024 | 87.50 Mn |
| Mar 31, 2024 | 93.70 Mn |
| Dec 31, 2023 | 124.30 Mn |
| Sep 30, 2023 | 87.00 Mn |
| Jun 30, 2023 | 103.70 Mn |
| Mar 31, 2023 | 95.30 Mn |
| Dec 31, 2022 | 92.80 Mn |
| Sep 30, 2022 | 75.90 Mn |
| Jun 30, 2022 | 103.70 Mn |
| Mar 31, 2022 | 56.60 Mn |
| Dec 31, 2021 | 54.40 Mn |
| Sep 30, 2021 | 45.10 Mn |
Autonation Capital Expenditures 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=capital-expenditures&ticker=AN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "ticker": "AN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=capital-expenditures&ticker=AN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();