Autonation (AN) Non Operating Interest Expenses (2010 - 2026)
Autonation (AN) posted Non Operating Interest Expenses of $49.9 million for Q2 2026, up 8.0% from $46.2 million a year earlier and up 4.0% from the prior quarter.
Autonation (AN) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Autonation was $189.4 million, up 7.1% year-over-year; for FY2025, it came in at $180 million, up 0.2% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 13.9% (FY2020 to FY2025).
- In prior years, Autonation's Non Operating Interest Expenses was $179.7 million in FY2024 (-0.9%), $181.4 million in FY2023 (+34.5%), $134.9 million in FY2022 (+45.1%) and $93 million in FY2021 (-0.7%).
- The Q2 2026 figure stands as the highest quarterly Non Operating Interest Expenses in data going back to Q2 2010.
- On a year-over-year basis, Non Operating Interest Expenses has increased in each of the last four quarters, with growth averaging 1.2% over the last eight quarters.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q2 2022, with growth of 63.2%; the weakest was Q3 2024, with a decline of 8.0%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $48 million (Q1 2026), $46.4 million (Q4 2025) and $45.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,831.59 Bn | 2,348.29 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 310.22 Bn | 303.46 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 163.36 Bn | 140.91 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 110.75 Bn | 103.71 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 76.07 Bn | 59.00 Bn | 2.12 Bn | - |
| 6 | O Reilly Automotive | 74.28 Bn | 73.37 Bn | 2.52 Bn | 69.87 Mn |
| 7 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 98.00 Mn |
| 8 | Autozone | 51.87 Bn | 50.78 Bn | 2.52 Bn | - |
| 9 | Carvana | 41.76 Bn | 32.25 Bn | 1.38 Bn | 101.00 Mn |
| 10 | Autonation | 5.37 Bn | 5.10 Bn | 1.23 Bn | 49.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.90 Mn |
| Mar 31, 2026 | 48.00 Mn |
| Dec 31, 2025 | 46.40 Mn |
| Sep 30, 2025 | 45.10 Mn |
| Jun 30, 2025 | 46.20 Mn |
| Mar 31, 2025 | 42.30 Mn |
| Dec 31, 2024 | 43.40 Mn |
| Sep 30, 2024 | 44.90 Mn |
| Jun 30, 2024 | 46.80 Mn |
| Mar 31, 2024 | 44.60 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 |
Autonation Non Operating 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=non-operating-interest-expenses&ticker=AN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=AN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();