Cxj (ECXJ) Operating Expenses (2020 - 2026)
Cxj's Operating Expenses was $177,706 in fiscal Q4 2026 (quarter ended May 31, 2026), down 91.7% from $2.14 million a year earlier but up 137.3% from the prior quarter.
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Analysis
Cxj (ECXJ) Operating Expenses (2020 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Operating Expenses at Cxj came in at $656,758, down 74.9% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of -18.7% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $2.62 million in FY2025 (-30.9%), $3.79 million in FY2024 (+150.9%), $1.51 million in FY2023 (+1.1%) and $1.5 million in FY2022 (-19.1%).
- Quarterly Operating Expenses has moved between $22,518 (fiscal Q2 2022) and $2.4 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Operating Expenses has declined for eight straight quarters, with an average decline of 36.6% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2023 (growth of 829.3%); the worst was fiscal Q4 2026 (a decline of 91.7%).
- Per Business Quant data, ECXJ's Operating Expenses in the three fiscal quarters before Q4 2026 was $74,900 (Q3 2026), $78,781 (Q2 2026) and $121,625 (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 173.15 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 1.02 Bn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 5.73 Bn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 1.53 Bn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 704.00 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 1.60 Bn |
| 10 | Cxj | 132.95 Mn | 132.63 Mn | 175,603.00 | 177,706.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 177,706.00 |
| Feb 28, 2026 | 74,900.00 |
| Nov 30, 2025 | 78,781.00 |
| Aug 31, 2025 | 121,625.00 |
| May 31, 2025 | 2.14 Mn |
| Feb 28, 2025 | 79,983.00 |
| Nov 30, 2024 | 123,570.00 |
| Aug 31, 2024 | 138,676.00 |
| May 31, 2024 | 2.40 Mn |
| Feb 29, 2024 | 132,964.00 |
| Nov 30, 2023 | 149,720.00 |
| Aug 31, 2023 | 634,930.00 |
| May 31, 2023 | 909,617.00 |
| Feb 28, 2023 | 165,019.00 |
| Nov 30, 2022 | 209,265.00 |
| Aug 31, 2022 | 227,369.00 |
| May 31, 2022 | 1.09 Mn |
| Feb 28, 2022 | 221,972.00 |
| Nov 30, 2021 | 22,518.00 |
| Aug 31, 2021 | 162,048.00 |
API Access
Cxj Operating 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=operating-expenses&ticker=ECXJ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=ECXJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();