CarParts.com (PRTS) EV to EBITDA (2011 - 2023)
CarParts.com's EV to EBITDA was 18.55 in Q4 2023, down 17.7% from 22.53 a year earlier and down 12.7% from the prior quarter.
Analysis
CarParts.com (PRTS) EV to EBITDA (2011 - 2023) Analysis & Trends
From Q4 2011 onward, CarParts.com has reported EV to EBITDA for 24 quarters.
- In earlier years, EV to EBITDA was 22.53 in FY2022 (-96.5%) and 643.19 in FY2021.
- Quarterly EV to EBITDA has moved between 17.41 (Q2 2023) and 426.09 (Q1 2022) over five years.
- Compared with a year earlier, EV to EBITDA has declined for four straight quarters, with an average decline of 57.1% over the last four quarters.
- Per Business Quant data, PRTS's EV to EBITDA in the three quarters before Q4 2023 was 21.24 (Q3 2023), 17.41 (Q2 2023) and 17.85 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn |
| 10 | CarParts.com | 65.67 Mn | -72.19 Mn | 45.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 30, 2023 | 18.55 |
| Sep 30, 2023 | 21.24 |
| Jul 1, 2023 | 17.41 |
| Apr 1, 2023 | 17.85 |
| Dec 31, 2022 | 22.53 |
| Oct 1, 2022 | 33.94 |
| Jul 2, 2022 | 77.80 |
| Apr 2, 2022 | 426.09 |
| Apr 3, 2021 | 84.61 |
| Sep 26, 2020 | 55.89 |
| Jun 27, 2020 | 67.40 |
| Mar 28, 2020 | 35.71 |
| Dec 29, 2018 | 31.49 |
| Sep 29, 2018 | 7.20 |
| Jun 30, 2018 | 5.00 |
| Mar 31, 2018 | 5.51 |
| Dec 30, 2017 | 7.44 |
| Sep 30, 2017 | 8.43 |
| Jul 1, 2017 | 9.65 |
| Apr 1, 2017 | 9.52 |
API Access
CarParts.com EV to EBITDA 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=ev-to-ebitda&ticker=PRTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-ebitda", "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=ev-to-ebitda&ticker=PRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();