Genesco (GCO) Return on Sales [ROS] (2009 - 2026)
Genesco's Return on Sales [ROS] came in at 0.68% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 3.33 percentage points from -2.64% a year earlier and up 3.84 percentage points from the prior quarter.
Genesco (GCO) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Aug 1, 2026, Genesco reported Return on Sales [ROS] of 1.98%, up 1.40 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 0.71%, up 0.11 percentage points from FY2025.
- Return on Sales [ROS] carries a five-year change of +6.71 percentage points (FY2021 to FY2026).
- Going back by fiscal year, Return on Sales [ROS] was 0.60% in FY2025 (+1.18 pp), -0.58% in FY2024 (-4.49 pp), 3.91% in FY2023 (-2.51 pp) and 6.42% in FY2022 (+12.43 pp).
- The five-year range for quarterly Return on Sales [ROS] is -7.39% (fiscal Q2 2024) to 11.46% (fiscal Q4 2022).
- Year-over-year, Return on Sales [ROS] has increased for three consecutive quarters, with an average year-over-year change of +0.92 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in fiscal Q3 2022 (a gain of 5.58 percentage points), and the weakest in fiscal Q2 2024 (a drop of 9.08 percentage points).
- Business Quant data shows GCO's Return on Sales [ROS] at -3.16% (Q1 2027), 6.42% (Q4 2026) and 1.39% (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 13.90% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 13.67% |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 8.88% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 17.62% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 9.65% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 21.45% |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 19.97% |
| 10 | Genesco | 397.86 Mn | 181.16 Mn | 272.12 Mn | 0.68% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 0.68% |
| May 2, 2026 | -3.16% |
| Nov 1, 2025 | 1.39% |
| Aug 2, 2025 | -2.64% |
| May 3, 2025 | -5.94% |
| Feb 1, 2025 | 6.69% |
| Nov 2, 2024 | 1.71% |
| Aug 3, 2024 | -1.96% |
| May 4, 2024 | -7.02% |
| Feb 3, 2024 | 5.00% |
| Oct 28, 2023 | 1.87% |
| Jul 29, 2023 | -7.39% |
| Apr 29, 2023 | -4.76% |
| Jan 28, 2023 | 6.24% |
| Oct 29, 2022 | 4.32% |
| Jul 30, 2022 | 1.70% |
| Apr 30, 2022 | 1.58% |
| Jan 29, 2022 | 8.56% |
| Oct 30, 2021 | 7.29% |
| Jul 31, 2021 | 2.32% |
Genesco 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=GCO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GCO", "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=GCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();