Cxj (ECXJ) Return on Sales [ROS] (2020 - 2026)
Cxj (ECXJ) recorded Return on Sales [ROS] of 105.87% in fiscal Q4 2026 (quarter ended May 31, 2026), up 1243.52 percentage points from -1137.65% a year earlier and up 174.17 percentage points from the prior quarter.
Cxj (ECXJ) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For FY2026 (ended May 31, 2026), Cxj reported Return on Sales [ROS] of -0.13%, up 490.37 percentage points from FY2025.
- Annual Return on Sales [ROS] has a five-year change of +149.68 percentage points (FY2021 to FY2026).
- Across earlier fiscal years, Return on Sales [ROS] came in at -490.50% in FY2025 (-398.46 pp), -92.04% in FY2024 (-42.45 pp), -49.59% in FY2023 (-31.60 pp) and -17.98% in FY2022 (+131.83 pp).
- The fiscal Q4 2026 figure is the highest quarterly Return on Sales [ROS] in data going back to fiscal Q1 2021.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of +29.08 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 1243.52 percentage points in fiscal Q4 2026, against a drop of 788.86 percentage points in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -68.30% (Q3 2026), -150.20% (Q2 2026) and -51.28% (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 9.65% |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 9.22% |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 20.15% |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 19.08% |
| 10 | Cxj | 131.93 Mn | 131.61 Mn | 175,603.00 | 105.87% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 105.87% |
| Feb 28, 2026 | -68.30% |
| Nov 30, 2025 | -150.20% |
| Aug 31, 2025 | -51.28% |
| May 31, 2025 | -1,137.65% |
| Feb 28, 2025 | -100.17% |
| Nov 30, 2024 | -105.83% |
| Aug 31, 2024 | -38.18% |
| May 31, 2024 | -348.79% |
| Feb 29, 2024 | 29.19% |
| Nov 30, 2023 | 23.44% |
| Aug 31, 2023 | -100.36% |
| May 31, 2023 | -223.70% |
| Feb 28, 2023 | -70.38% |
| Nov 30, 2022 | -4.80% |
| Aug 31, 2022 | 5.28% |
| May 31, 2022 | -113.51% |
| Feb 28, 2022 | 24.81% |
| Nov 30, 2021 | 42.00% |
| Aug 31, 2021 | -17.04% |
Cxj Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=ECXJ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=ECXJ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();