Cxj (ECXJ) Accumulated Expenses (2020 - 2025)
Cxj (ECXJ) reported Accumulated Expenses of $498,431 for fiscal Q3 2025 (quarter ended Feb 28, 2025), up 8.5% from the prior quarter.
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Analysis
Cxj (ECXJ) Accumulated Expenses (2020 - 2025) Analysis & Trends
At the end of FY2024 (ended May 31, 2024), Cxj posted Accumulated Expenses of $531,071, up 22.5% from FY2023.
- Accumulated Expenses has a four-year compound annual growth rate of 67.8% (FY2020 to FY2024).
- By fiscal year, Accumulated Expenses came in at $433,691 in FY2023, $148,615 in FY2021 (+122.0%) and $66,934 in FY2020.
- Five-year quarterly Accumulated Expenses spans a low of $66,934 in fiscal Q4 2020 and a high of $531,071 in fiscal Q4 2024.
- Per Business Quant data, the three fiscal quarters before Q3 2025 came in at $459,365 (Q2 2025), $464,220 (Q1 2025) and $531,071 (Q4 2024).
Peer Set
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 | Cxj | 131.93 Mn | 131.61 Mn | 175,603.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2025 | 498,431.00 |
| Nov 30, 2024 | 459,365.00 |
| Aug 31, 2024 | 464,220.00 |
| May 31, 2024 | 531,071.00 |
| May 31, 2023 | 433,691.00 |
| Feb 28, 2022 | 98,229.00 |
| Nov 30, 2021 | 102,009.00 |
| Aug 31, 2021 | 100,318.00 |
| May 31, 2021 | 148,615.00 |
| Feb 28, 2021 | 166,049.00 |
| May 31, 2020 | 66,934.00 |
API Access
Cxj Accumulated Expenses 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=accumulated-expenses&ticker=ECXJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=ECXJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();