CarParts.com (PRTS) EV to FCF (2014 - 2024)
CarParts.com's (PRTS) EV to FCF came in at 10.49 for Q1 2024, up 35.7% from 7.73 a year earlier and up 214.9% from the prior quarter.
CarParts.com (PRTS) EV to FCF (2014 - 2024) Analysis & Trends
For the trailing twelve months through Mar 30, 2024, EV to FCF at CarParts.com was -35.22; for FY2023, it was 3.33, down 97.1% from FY2022.
- In prior years, CarParts.com's EV to FCF was 116.28 in FY2022 and 103.77 in FY2019 (+65.4%).
- The Q1 2024 figure stands as the highest quarterly EV to FCF since Q4 2022.
- According to Business Quant data, EV to FCF for the three prior quarters was 3.33 (Q4 2023), 2.93 (Q3 2023) and 2.43 (Q2 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 | 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 |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | CarParts.com | 64.63 Mn | -73.23 Mn | 45.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 30, 2024 | 10.49 |
| Dec 30, 2023 | 3.33 |
| Sep 30, 2023 | 2.93 |
| Jul 1, 2023 | 2.43 |
| Apr 1, 2023 | 7.73 |
| Dec 31, 2022 | 116.28 |
| Apr 3, 2021 | 146.74 |
| Jun 27, 2020 | 15.16 |
| Mar 28, 2020 | 5.77 |
| Dec 28, 2019 | 103.77 |
| Dec 29, 2018 | 62.72 |
| Sep 29, 2018 | 9.35 |
| Jun 30, 2018 | 27.44 |
| Mar 31, 2018 | 8.31 |
| Dec 30, 2017 | 12.54 |
| Sep 30, 2017 | 10.79 |
| Jul 1, 2017 | 8.15 |
| Apr 1, 2017 | 8.60 |
| Dec 31, 2016 | 7.71 |
| Oct 1, 2016 | 6.67 |
CarParts.com EV to FCF 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-fcf&ticker=PRTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=PRTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();