Caleres (CAL) Return on Sales [ROS] (2010 - 2026)
Caleres (CAL) reported Return on Sales [ROS] of 11.16% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 9.75 percentage points from 1.41% a year earlier and up 7.58 percentage points from the prior quarter.
Caleres (CAL) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Caleres' Return on Sales [ROS] came in at 3.05%, down 0.17 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 0.23%, down 5.27 percentage points from FY2025.
- Return on Sales [ROS] has declined for four consecutive fiscal years, though with a five-year change of +23.17 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 5.50% in FY2025 (-1.40 pp), 6.90% in FY2024 (-0.32 pp), 7.22% in FY2023 (-0.19 pp) and 7.41% in FY2022 (+30.35 pp).
- The fiscal Q2 2027 figure ranks as the highest quarterly Return on Sales [ROS] in data going back to fiscal Q2 2011.
- Year over year, Return on Sales [ROS] gained in two of the last eight quarters, with an average year-over-year change of -1.64 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2022 (a gain of 16.15 percentage points); the low point was fiscal Q3 2026 (a drop of 6.14 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 3.58% (Q1 2027), -3.81% (Q4 2026) and 1.51% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Nike | 55.41 Bn | 21.61 Bn | 4.80 Bn | 7.92% |
| 2 | Ralph Lauren | 22.71 Bn | 14.81 Bn | 1.44 Bn | 17.47% |
| 3 | Tapestry | 22.52 Bn | 18.48 Bn | 1.56 Bn | 23.57% |
| 4 | Deckers Outdoor | 11.67 Bn | 4.54 Bn | - | - |
| 5 | Lululemon Athletica | 11.17 Bn | 5.42 Bn | 1.46 Bn | 18.78% |
| 6 | Levi Strauss | 8.19 Bn | 4.77 Bn | 1.07 Bn | 13.81% |
| 7 | V F | 6.76 Bn | 3.38 Bn | 917.04 Mn | -4.98% |
| 8 | Gildan Activewear | 6.48 Bn | 5.40 Bn | 459.76 Mn | 11.12% |
| 9 | Birkenstock Holding | 6.08 Bn | 4.40 Bn | 493.89 Mn | 28.22% |
| 10 | Caleres | 423.34 Mn | 270.95 Mn | 380.98 Mn | 11.16% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 11.16% |
| May 2, 2026 | 3.58% |
| Jan 31, 2026 | -3.81% |
| Nov 1, 2025 | 1.51% |
| Aug 2, 2025 | 1.41% |
| May 3, 2025 | 1.89% |
| Feb 1, 2025 | 1.23% |
| Nov 2, 2024 | 7.65% |
| Aug 3, 2024 | 6.22% |
| May 4, 2024 | 6.49% |
| Feb 3, 2024 | 4.41% |
| Oct 28, 2023 | 8.45% |
| Jul 29, 2023 | 7.15% |
| Apr 29, 2023 | 7.48% |
| Jan 28, 2023 | 3.71% |
| Oct 29, 2022 | 6.75% |
| Jul 30, 2022 | 9.27% |
| Apr 30, 2022 | 9.00% |
| Jan 29, 2022 | 6.45% |
| Oct 30, 2021 | 10.37% |
Caleres 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=CAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CAL", "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=CAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();