CarParts.com (PRTS) Selling, General & Administrative (2010 - 2019)
CarParts.com (PRTS) posted Selling, General & Administrative of $4.09 million for Q4 2019, down 32.4% from $6.04 million a year earlier but up 0.4% from the prior quarter.
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Analysis
CarParts.com (PRTS) Selling, General & Administrative (2010 - 2019) Analysis & Trends
For FY2019, CarParts.com's Selling, General & Administrative came in at $17.74 million, down 11.1% from FY2018.
- Annual Selling, General & Administrative shows a four-year compound annual growth rate of 2.1% (FY2015 to FY2019).
- In prior years, CarParts.com's Selling, General & Administrative was $19.96 million in FY2018 (+13.4%), $17.61 million in FY2017 (-0.1%), $17.63 million in FY2016 (+8.0%) and $16.33 million in FY2015.
- Quarterly Selling, General & Administrative has run from a low of $3.79 million in Q4 2015 to a high of $6.04 million in Q4 2018 over five years.
- On a year-over-year basis, Selling, General & Administrative has declined in each of the last three quarters, with growth averaging 2.1% over the last eight quarters.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was Q4 2018, with growth of 42.9%; the weakest was Q4 2019, with a decline of 32.4%.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $4.07 million (Q3 2019), $4.65 million (Q2 2019) and $4.94 million (Q1 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 2.79 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 8.42 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 1.60 Bn |
| 10 | CarParts.com | 64.63 Mn | -73.23 Mn | 45.06 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 28, 2019 | 4.09 Mn |
| Sep 28, 2019 | 4.07 Mn |
| Jun 29, 2019 | 4.65 Mn |
| Mar 30, 2019 | 4.94 Mn |
| Dec 29, 2018 | 6.04 Mn |
| Sep 29, 2018 | 4.30 Mn |
| Jun 30, 2018 | 4.74 Mn |
| Mar 31, 2018 | 4.89 Mn |
| Dec 30, 2017 | 4.23 Mn |
| Sep 30, 2017 | 4.28 Mn |
| Jul 1, 2017 | 4.31 Mn |
| Apr 1, 2017 | 4.80 Mn |
| Dec 31, 2016 | 4.31 Mn |
| Oct 1, 2016 | 4.35 Mn |
| Jul 2, 2016 | 4.54 Mn |
| Apr 2, 2016 | 4.43 Mn |
| Jan 2, 2016 | 3.79 Mn |
| Oct 3, 2015 | 4.29 Mn |
| Jul 4, 2015 | 4.48 Mn |
| Apr 4, 2015 | 4.18 Mn |
API Access
CarParts.com Selling, General & Administrative 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=selling-general-and-administrative&ticker=PRTS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "PRTS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=PRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();