Citi Trends (CTRN) Return on Sales [ROS] (2010 - 2026)
Citi Trends (CTRN) posted Return on Sales [ROS] of -0.81% for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 2.65 percentage points from 1.84% a year earlier and down 4.00 percentage points from the prior quarter.
Citi Trends (CTRN) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Aug 1, 2026, Return on Sales [ROS] at Citi Trends was 0.63%, up 1.10 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 0.47%, up 5.71 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of -3.61 percentage points (FY2021 to FY2026).
- In prior fiscal years, Citi Trends' Return on Sales [ROS] was -5.24% in FY2025 (-2.64 pp), -2.60% in FY2024 (-12.07 pp), 9.47% in FY2023 (+1.45 pp) and 8.02% in FY2022 (+3.94 pp).
- Quarterly Return on Sales [ROS] has run from a low of -14.10% in fiscal Q2 2025 to a high of 19.04% in fiscal Q1 2023 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in five of the last eight quarters, with an average year-over-year change of +2.64 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q2 2026, with a gain of 15.94 percentage points; the weakest was fiscal Q1 2024, with a drop of 24.31 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 3.19% (Q1 2027), 3.12% (Q4 2026) and -3.73% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.71 Bn | 2,229.41 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 320.58 Bn | 313.83 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 162.06 Bn | 139.60 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 112.76 Bn | 105.73 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 74.68 Bn | 57.60 Bn | 2.12 Bn | 17.62% |
| 6 | O Reilly Automotive | 74.64 Bn | 73.73 Bn | 2.52 Bn | 20.15% |
| 7 | Target | 70.16 Bn | 64.75 Bn | 8.94 Bn | 9.65% |
| 8 | Autozone | 52.79 Bn | 51.69 Bn | 2.52 Bn | 19.08% |
| 9 | Carvana | 42.27 Bn | 32.76 Bn | 1.38 Bn | 9.22% |
| 10 | Citi Trends | 372.67 Mn | 118.49 Mn | 85.89 Mn | -0.81% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | -0.81% |
| May 2, 2026 | 3.19% |
| Jan 31, 2026 | 3.12% |
| Nov 1, 2025 | -3.73% |
| Aug 2, 2025 | 1.84% |
| May 3, 2025 | 0.24% |
| Feb 1, 2025 | 0.57% |
| Nov 2, 2024 | -4.93% |
| Aug 3, 2024 | -14.10% |
| May 4, 2024 | -3.74% |
| Feb 3, 2024 | 1.83% |
| Oct 28, 2023 | -3.34% |
| Jul 29, 2023 | -4.57% |
| Apr 29, 2023 | -5.26% |
| Jan 28, 2023 | 3.53% |
| Oct 29, 2022 | 16.42% |
| Jul 30, 2022 | -1.80% |
| Apr 30, 2022 | 19.04% |
| Jan 29, 2022 | 5.22% |
| Oct 30, 2021 | 5.08% |
Citi Trends 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=CTRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CTRN", "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=CTRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();