Autonation (AN) Operating Expenses (2010 - 2026)
Autonation's Operating Expenses came in at $856.3 million for Q2 2026, up 0.2% from $854.7 million a year earlier and up 1.7% from the prior quarter.
Powered by 
Analysis
Autonation (AN) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Autonation reported Operating Expenses of $3.38 billion, up 1.9% year-over-year; for FY2025, it was $3.36 billion, up 3.0% from FY2024.
- Operating Expenses has increased in each of the last five years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $3.26 billion in FY2024 (+0.3%), $3.25 billion in FY2023 (+7.5%), $3.03 billion in FY2022 (+5.2%) and $2.88 billion in FY2021 (+18.8%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2010.
- Year-over-year, Operating Expenses has increased for seven consecutive quarters, with growth averaging 2.1% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2021 (growth of 19.6%), and the weakest in Q2 2024 (a decline of 2.0%).
- Business Quant data shows AN's Operating Expenses at $842.2 million (Q1 2026), $835.5 million (Q4 2025) and $850.1 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,826.22 Bn | 2,342.91 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 312.87 Bn | 306.11 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 162.20 Bn | 139.75 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 110.98 Bn | 103.94 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.30 Bn | 58.23 Bn | 2.12 Bn | 1.02 Bn |
| 6 | O Reilly Automotive | 74.25 Bn | 73.33 Bn | 2.52 Bn | 1.53 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 5.73 Bn |
| 8 | Autozone | 52.03 Bn | 50.93 Bn | 2.52 Bn | 1.60 Bn |
| 9 | Carvana | 43.27 Bn | 33.76 Bn | 1.38 Bn | 704.00 Mn |
| 10 | Autonation | 5.43 Bn | 5.15 Bn | 1.23 Bn | 856.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 856.30 Mn |
| Mar 31, 2026 | 842.20 Mn |
| Dec 31, 2025 | 835.50 Mn |
| Sep 30, 2025 | 850.10 Mn |
| Jun 30, 2025 | 854.70 Mn |
| Mar 31, 2025 | 821.90 Mn |
| Dec 31, 2024 | 833.70 Mn |
| Sep 30, 2024 | 811.30 Mn |
| Jun 30, 2024 | 825.80 Mn |
| Mar 31, 2024 | 793.10 Mn |
| Dec 31, 2023 | 808.30 Mn |
| Sep 30, 2023 | 819.30 Mn |
| Jun 30, 2023 | 842.90 Mn |
| Mar 31, 2023 | 782.70 Mn |
| Dec 31, 2022 | 766.70 Mn |
| Sep 30, 2022 | 763.20 Mn |
| Jun 30, 2022 | 754.80 Mn |
| Mar 31, 2022 | 741.40 Mn |
| Dec 31, 2021 | 755.70 Mn |
| Sep 30, 2021 | 723.70 Mn |
API Access
Autonation Operating Expenses 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=operating-expenses&ticker=AN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=AN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();