Autonation (AN) Interest Expenses (2010 - 2026)
Autonation's Interest Expenses came in at $27.1 million for Q2 2026, up 52.2% from $17.8 million a year earlier and up 11.1% from the prior quarter.
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Analysis
Autonation (AN) Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Autonation reported Interest Expenses of $96.1 million, up 72.2% year-over-year; for FY2025, it was $76.3 million, up 91.7% from FY2024.
- Interest Expenses has increased in each of the last three years, though with a five-year compound annual growth rate of -4.0% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $39.8 million in FY2024 (+91.3%), $20.8 million in FY2023 (+342.6%), $4.7 million in FY2022 (-94.9%) and $93 million in FY2021 (-0.7%).
- The Q2 2026 figure represents the highest quarterly Interest Expenses since Q4 2023.
- Year-over-year, Interest Expenses has increased for six consecutive quarters, with growth averaging 44.1% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q2 2025 (growth of 104.6%), and the weakest in Q1 2024 (a decline of 83.0%).
- Business Quant data shows AN's Interest Expenses at $24.4 million (Q1 2026), $23.4 million (Q4 2025) and $21.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,836.45 Bn | 2,353.14 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 313.87 Bn | 307.11 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 161.87 Bn | 139.41 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 111.49 Bn | 104.45 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 75.54 Bn | 58.46 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 74.39 Bn | 73.48 Bn | 2.52 Bn | 69.87 Mn |
| 7 | Target | 70.62 Bn | 65.21 Bn | 8.94 Bn | 98.00 Mn |
| 8 | Autozone | 52.10 Bn | 51.01 Bn | 2.52 Bn | - |
| 9 | Carvana | 43.32 Bn | 33.81 Bn | 1.38 Bn | 101.00 Mn |
| 10 | Autonation | 5.39 Bn | 5.11 Bn | 1.23 Bn | 27.10 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.10 Mn |
| Mar 31, 2026 | 24.40 Mn |
| Dec 31, 2025 | 23.40 Mn |
| Sep 30, 2025 | 21.20 Mn |
| Jun 30, 2025 | 17.80 Mn |
| Mar 31, 2025 | 13.90 Mn |
| Dec 31, 2024 | 12.70 Mn |
| Sep 30, 2024 | 11.40 Mn |
| Jun 30, 2024 | 8.70 Mn |
| Mar 31, 2024 | 7.00 Mn |
| Dec 31, 2023 | 45.50 Mn |
| Sep 30, 2023 | 48.80 Mn |
| Jun 30, 2023 | 46.00 Mn |
| Mar 31, 2023 | 41.10 Mn |
| Dec 31, 2022 | 37.50 Mn |
| Sep 30, 2022 | 33.70 Mn |
| Jun 30, 2022 | 34.10 Mn |
| Mar 31, 2022 | 29.60 Mn |
| Dec 31, 2021 | 26.80 Mn |
| Sep 30, 2021 | 24.10 Mn |
API Access
Autonation Interest 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=interest-expenses&ticker=AN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=AN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();