Monro (MNRO) Return on Sales [ROS] (2010 - 2025)
Monro (MNRO) posted Return on Sales [ROS] of 6.33% for fiscal Q3 2026 (quarter ended Dec 27, 2025), up 3.07 percentage points from 3.26% a year earlier and up 1.92 percentage points from the prior quarter.
Monro (MNRO) Return on Sales [ROS] (2010 - 2025) Analysis & Trends
For the trailing twelve months through Dec 27, 2025, Return on Sales [ROS] at Monro was 0.12%, down 3.74 percentage points year-over-year; for FY2025 (ended Mar 29, 2025), it came in at 1.05%, down 4.54 percentage points from FY2024.
- Annual Return on Sales [ROS] has declined for three consecutive fiscal years, with a five-year change of -7.04 percentage points (FY2020 to FY2025).
- In prior fiscal years, Monro's Return on Sales [ROS] was 5.59% in FY2024 (-0.42 pp), 6.02% in FY2023 (-1.43 pp), 7.45% in FY2022 (+1.04 pp) and 6.42% in FY2021 (-1.68 pp).
- The fiscal Q3 2026 figure stands as the highest quarterly Return on Sales [ROS] since fiscal Q3 2024.
- On a year-over-year basis, Return on Sales [ROS] increased in three of the last eight quarters, with an average year-over-year change of -2.54 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q4 2021, with a gain of 6.64 percentage points; the weakest was fiscal Q4 2025, with a drop of 11.42 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 4.41% (Q2 2026), -2.02% (Q1 2026) and -8.08% (Q4 2025).
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 | Monro | 425.68 Mn | 387.86 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 6.33% |
| Sep 27, 2025 | 4.41% |
| Jun 28, 2025 | -2.02% |
| Mar 29, 2025 | -8.08% |
| Dec 28, 2024 | 3.26% |
| Sep 28, 2024 | 4.38% |
| Jun 29, 2024 | 4.52% |
| Mar 30, 2024 | 3.33% |
| Dec 23, 2023 | 6.73% |
| Sep 23, 2023 | 6.94% |
| Jun 24, 2023 | 5.31% |
| Mar 25, 2023 | 1.99% |
| Dec 24, 2022 | 7.11% |
| Sep 24, 2022 | 7.12% |
| Jun 25, 2022 | 7.51% |
| Mar 26, 2022 | 3.50% |
| Dec 25, 2021 | 8.03% |
| Sep 25, 2021 | 9.92% |
| Jun 26, 2021 | 8.17% |
| Mar 27, 2021 | 6.78% |
Monro 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=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MNRO", "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=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();