Autozone (AZO) Operating Leases (2019 - 2026)
Autozone (AZO) recorded Operating Leases of $3.28 billion in fiscal Q3 2026 (quarter ended May 9, 2026), up 8.5% from $3.02 billion a year earlier and up 3.3% from the prior quarter.
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Analysis
Autozone (AZO) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 30, 2025), Autozone reported Operating Leases of $3.09 billion, up 4.5% from FY2024.
- Annual Operating Leases has increased for five straight fiscal years, with a five-year compound annual growth rate of 4.3% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Leases came in at $2.96 billion in FY2024 (+1.5%), $2.92 billion in FY2023 (+2.8%), $2.84 billion in FY2022 (+7.8%) and $2.63 billion in FY2021 (+5.2%).
- The fiscal Q3 2026 figure is the highest quarterly Operating Leases in data going back to fiscal Q1 2020.
- On a year-over-year basis, Operating Leases has increased for 23 consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- Over the past five years, the year-over-year growth in Operating Leases ranged from 1.5% (fiscal Q4 2024) to 8.5% (fiscal Q3 2026).
- Per Business Quant, the preceding three fiscal quarters came in at $3.18 billion (Q2 2026), $3.14 billion (Q1 2026) and $3.09 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn |
| 10 | JD.com | 31.91 Bn | -78.27 Bn | 8.71 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 3.28 Bn |
| Feb 14, 2026 | 3.18 Bn |
| Nov 22, 2025 | 3.14 Bn |
| Aug 30, 2025 | 3.09 Bn |
| May 10, 2025 | 3.02 Bn |
| Feb 15, 2025 | 3.01 Bn |
| Nov 23, 2024 | 2.98 Bn |
| Aug 31, 2024 | 2.96 Bn |
| May 4, 2024 | 2.96 Bn |
| Feb 10, 2024 | 2.90 Bn |
| Nov 18, 2023 | 2.91 Bn |
| Aug 26, 2023 | 2.92 Bn |
| May 6, 2023 | 2.86 Bn |
| Feb 11, 2023 | 2.85 Bn |
| Nov 19, 2022 | 2.84 Bn |
| Aug 27, 2022 | 2.84 Bn |
| May 7, 2022 | 2.66 Bn |
| Feb 12, 2022 | 2.64 Bn |
| Nov 20, 2021 | 2.62 Bn |
| Aug 28, 2021 | 2.63 Bn |
API Access
Autozone Operating Leases 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-leases&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();