Macy's (M) Return on Sales [ROS] (2009 - 2026)
Macy's (M) reported Return on Sales [ROS] of 4.82% for fiscal Q2 2027 (quarter ended Aug 1, 2026), up 1.84 percentage points from 2.98% a year earlier and up 2.53 percentage points from the prior quarter.
Macy's (M) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Aug 1, 2026, Macy's' Return on Sales [ROS] came in at 5.02%, up 1.47 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 4.55%, up 0.60 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of +30.35 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 3.95% in FY2025 (+2.69 pp), 1.26% in FY2024 (-5.38 pp), 6.64% in FY2023 (-2.56 pp) and 9.19% in FY2022 (+34.99 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -1.78% in fiscal Q4 2024 and a high of 10.41% in fiscal Q4 2022.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of +1.33 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q3 2022 (a gain of 12.80 percentage points); the low point was fiscal Q4 2024 (a drop of 9.18 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 2.29% (Q1 2027), 9.41% (Q4 2026) and 0.85% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 9.65% |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 20.15% |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 9.22% |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | 19.08% |
| 10 | Macy's | 5.94 Bn | 1.66 Bn | 2.21 Bn | 4.82% |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 4.82% |
| May 2, 2026 | 2.29% |
| Jan 31, 2026 | 9.41% |
| Nov 1, 2025 | 0.85% |
| Aug 2, 2025 | 2.98% |
| May 3, 2025 | 1.96% |
| Feb 1, 2025 | 6.23% |
| Nov 2, 2024 | 1.31% |
| Aug 3, 2024 | 4.36% |
| May 4, 2024 | 2.50% |
| Feb 3, 2024 | -1.78% |
| Oct 28, 2023 | 1.65% |
| Jul 29, 2023 | 2.42% |
| Apr 29, 2023 | 4.64% |
| Jan 28, 2023 | 7.40% |
| Oct 29, 2022 | 3.51% |
| Jul 30, 2022 | 6.84% |
| Apr 30, 2022 | 8.32% |
| Jan 29, 2022 | 10.41% |
| Oct 30, 2021 | 9.61% |
Macy's 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=M&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "M", "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=M&period=max&api_key=YOUR_API_KEY");
const data = await res.json();