Autozone (AZO) Cost of Revenue (2009 - 2026)
Autozone (AZO) posted Cost of Revenue of $2.32 billion for fiscal Q3 2026 (quarter ended May 9, 2026), up 9.7% from $2.11 billion a year earlier and up 14.1% from the prior quarter.
Autozone (AZO) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through May 9, 2026, Cost of Revenue at Autozone was $9.64 billion, up 8.4% year-over-year; for FY2025 (ended Aug 30, 2025), it was $8.97 billion, up 3.4% from FY2024.
- Annual Cost of Revenue has increased for 16 consecutive fiscal years, with a five-year compound annual growth rate of 8.9% (FY2020 to FY2025).
- In prior fiscal years, Autozone's Cost of Revenue was $8.67 billion in FY2024 (+3.4%), $8.39 billion in FY2023 (+7.8%), $7.78 billion in FY2022 (+12.6%) and $6.91 billion in FY2021 (+17.9%).
- Quarterly Cost of Revenue has run from a low of $1.58 billion in fiscal Q2 2022 to a high of $3.03 billion in fiscal Q4 2025 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last ten quarters, with growth averaging 7.2% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q1 2022, with growth of 17.9%; the weakest was fiscal Q1 2024, with a decline of 0.7%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $2.03 billion (Q2 2026), $2.27 billion (Q1 2026) and $3.03 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | JD.com | 31.28 Bn | -78.90 Bn | 8.71 Bn | 42.31 Bn |
Historic Data
| Date | Value |
|---|---|
| May 9, 2026 | 2.32 Bn |
| Feb 14, 2026 | 2.03 Bn |
| Nov 22, 2025 | 2.27 Bn |
| Aug 30, 2025 | 3.03 Bn |
| May 10, 2025 | 2.11 Bn |
| Feb 15, 2025 | 1.82 Bn |
| Nov 23, 2024 | 2.01 Bn |
| Aug 31, 2024 | 2.95 Bn |
| May 4, 2024 | 1.97 Bn |
| Feb 10, 2024 | 1.78 Bn |
| Nov 18, 2023 | 1.98 Bn |
| Aug 26, 2023 | 2.69 Bn |
| May 6, 2023 | 1.94 Bn |
| Feb 11, 2023 | 1.76 Bn |
| Nov 19, 2022 | 1.99 Bn |
| Aug 27, 2022 | 2.59 Bn |
| May 7, 2022 | 1.86 Bn |
| Feb 12, 2022 | 1.58 Bn |
| Nov 20, 2021 | 1.74 Bn |
| Aug 28, 2021 | 2.35 Bn |
Autozone Cost of Revenue 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=cost-of-revenue&ticker=AZO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();