Cxj (ECXJ) Price to Book (2020 - 2023)
Cxj's Price to Book came in at 32.29 for fiscal Q2 2024 (quarter ended Nov 30, 2023), up 65.2% from 19.55 a year earlier but down 9.3% from the prior quarter.
Analysis
Cxj (ECXJ) Price to Book (2020 - 2023) Analysis & Trends
For FY2023 (ended May 31, 2023), Cxj's Price to Book was 27.88, down 23.0% from FY2022.
- Going back by fiscal year, Price to Book was 36.21 in FY2022 (-56.7%), 83.62 in FY2021 (+12.5%) and 74.35 in FY2020.
- The five-year range for quarterly Price to Book is 19.55 (fiscal Q2 2023) to 83.62 (fiscal Q4 2021).
- Year-over-year, Price to Book increased in two of the last seven quarters, with an average decline of 17.1%.
- The fastest year-over-year change in Price to Book over five years came in fiscal Q2 2024 (growth of 65.2%), and the weakest in fiscal Q4 2022 (a decline of 56.7%).
- Business Quant data shows ECXJ's Price to Book at 35.59 (Q1 2024), 27.88 (Q4 2023) and 20.28 (Q3 2023) in the three fiscal quarters before Q2 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn |
| 10 | Cxj | 131.93 Mn | 131.61 Mn | 175,603.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2023 | 32.29 |
| Aug 31, 2023 | 35.59 |
| May 31, 2023 | 27.88 |
| Feb 28, 2023 | 20.28 |
| Nov 30, 2022 | 19.55 |
| Aug 31, 2022 | 32.34 |
| May 31, 2022 | 36.21 |
| Feb 28, 2022 | 37.97 |
| Nov 30, 2021 | 23.84 |
| Aug 31, 2021 | 65.61 |
| May 31, 2021 | 83.62 |
| May 31, 2020 | 74.35 |
API Access
Cxj Price to Book 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=price-to-book&ticker=ECXJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ECXJ", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=ECXJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();