Autozone (AZO) Intangibles (2013 - 2018)
Autozone (AZO) posted Intangibles of $8.83 million for fiscal Q1 2019 (quarter ended Nov 17, 2018), down 82.7% from $51.07 million a year earlier and down 9.8% from the prior quarter.
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Analysis
Autozone (AZO) Intangibles (2013 - 2018) Analysis & Trends
At the end of FY2018 (ended Aug 25, 2018), Autozone's Intangibles came in at $9.79 million, down 81.4% from FY2017.
- Annual Intangibles has declined for four consecutive fiscal years, with a five-year compound annual growth rate of -28.3% (FY2013 to FY2018).
- In prior fiscal years, Autozone's Intangibles was $52.5 million in FY2017 (-13.9%), $60.98 million in FY2016 (-12.5%), $69.73 million in FY2015 (-6.9%) and $74.87 million in FY2014 (+44.8%).
- The fiscal Q1 2019 figure stands as the lowest quarterly Intangibles in data going back to fiscal Q4 2013.
- On a year-over-year basis, Intangibles has declined in each of the last 16 quarters, with an average decline of 47.1% over the last eight quarters.
- The strongest year-over-year quarter for Intangibles in the past five years was fiscal Q1 2015, with growth of 56.7%; the weakest was fiscal Q1 2019, with a decline of 82.7%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (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 | 10.48 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 | 5.71 Bn |
| 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 | 53.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | - |
| 10 | JD.com | 32.27 Bn | -77.91 Bn | 8.71 Bn | 1.06 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 17, 2018 | 8.83 Mn |
| Aug 25, 2018 | 9.79 Mn |
| May 5, 2018 | 11.07 Mn |
| Feb 10, 2018 | 12.04 Mn |
| Nov 18, 2017 | 51.07 Mn |
| Aug 26, 2017 | 52.50 Mn |
| May 6, 2017 | 55.08 Mn |
| Feb 11, 2017 | 57.02 Mn |
| Nov 19, 2016 | 58.96 Mn |
| Aug 27, 2016 | 60.98 Mn |
| May 7, 2016 | 63.67 Mn |
| Feb 13, 2016 | 65.69 Mn |
| Nov 21, 2015 | 67.71 Mn |
| Aug 29, 2015 | 69.73 Mn |
| May 9, 2015 | 76.38 Mn |
| Feb 14, 2015 | 79.03 Mn |
| Nov 22, 2014 | 81.12 Mn |
| Aug 30, 2014 | 74.87 Mn |
| May 10, 2014 | 77.52 Mn |
| Feb 15, 2014 | 79.51 Mn |
API Access
Autozone Intangibles 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=intangibles&ticker=AZO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=AZO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();