Autozone (AZO) Long-Term Investments (2017 - 2026)
Autozone (AZO) recorded Long-Term Investments of $119.9 million in fiscal Q3 2026 (quarter ended May 9, 2026), up 4.7% from $114.5 million a year earlier but down 0.2% from the prior quarter.
Autozone (AZO) Long-Term Investments (2017 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Autozone reported Long-Term Investments of $117.4 million, up 5.3% from FY2024.
- Annual Long-Term Investments has increased for five straight fiscal years, with a five-year compound annual growth rate of 31.3% (FY2020 to FY2025).
- Across earlier fiscal years, Long-Term Investments came in at $111.5 million in FY2024 (+6.2%), $105 million in FY2023 (+15.3%), $91.1 million in FY2022 (+45.8%) and $62.5 million in FY2021 (+107.6%).
- Quarterly Long-Term Investments has ranged from $62.5 million in fiscal Q4 2021 to $120.2 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Long-Term Investments has increased for 20 consecutive quarters, with growth averaging 5.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Long-Term Investments ranged from 3.4% (fiscal Q1 2024) to 107.6% (fiscal Q4 2021).
- Per Business Quant, the preceding three fiscal quarters came in at $120.2 million (Q2 2026), $119 million (Q1 2026) and $117.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | - |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | - |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 179.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | - |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | - |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | - |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 119.90 Mn |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 5.66 Bn |
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 119.90 Mn |
| Feb 14, 2026 | 120.20 Mn |
| Nov 22, 2025 | 119.00 Mn |
| Aug 30, 2025 | 117.40 Mn |
| May 10, 2025 | 114.50 Mn |
| Feb 15, 2025 | 112.90 Mn |
| Nov 23, 2024 | 111.50 Mn |
| Aug 31, 2024 | 111.50 Mn |
| May 4, 2024 | 108.70 Mn |
| Feb 10, 2024 | 107.90 Mn |
| Nov 18, 2023 | 106.40 Mn |
| Aug 26, 2023 | 105.00 Mn |
| May 6, 2023 | 105.10 Mn |
| Feb 11, 2023 | 103.70 Mn |
| Nov 19, 2022 | 102.90 Mn |
| Aug 27, 2022 | 91.10 Mn |
| May 7, 2022 | 91.20 Mn |
| Feb 12, 2022 | 92.00 Mn |
| Nov 20, 2021 | 92.80 Mn |
| Aug 28, 2021 | 62.50 Mn |
Autozone Long-Term Investments 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=long-term-investments&ticker=AZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "ticker": "AZO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-investments&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();