Monro (MNRO) Operating Margin (2010 - 2026)
Monro's Operating Margin was 0.91% in fiscal Q2 2027 (quarter ended Sep 26, 2026), down 3.50 percentage points from 4.41% a year earlier and down 0.37 percentage points from the prior quarter.
Monro (MNRO) Operating Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Monro's Operating Margin was 1.73% through Sep 26, 2026, up 2.33 percentage points year-over-year; for FY2026 (ended Mar 28, 2026), it came in at 1.73%, up 0.68 percentage points from FY2025.
- Operating Margin shows a five-year change of -4.69 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Operating Margin was 1.05% in FY2025 (-4.54 pp), 5.59% in FY2024 (-0.42 pp), 6.02% in FY2023 (-1.43 pp) and 7.45% in FY2022 (+1.04 pp).
- Quarterly Operating Margin has moved between -8.08% (fiscal Q4 2025) and 8.03% (fiscal Q3 2022) over five years.
- Compared with a year earlier, Operating Margin was higher in four of the last eight quarters, with an average year-over-year change of -1.54 percentage points.
- The best year-over-year quarter for Operating Margin over five years was fiscal Q4 2026 (a gain of 6.18 percentage points); the worst was fiscal Q4 2025 (a drop of 11.42 percentage points).
- Per Business Quant data, MNRO's Operating Margin in the three fiscal quarters before Q2 2027 was 1.29% (Q1 2027), -1.90% (Q4 2026) and 6.33% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 13.90% |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 17.62% |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 20.15% |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | 9.65% |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | 8.88% |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 19.97% |
| 10 | Monro | 346.75 Mn | 302.72 Mn | 99.95 Mn | 0.91% |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 0.91% |
| Jun 27, 2026 | 1.29% |
| Mar 28, 2026 | -1.90% |
| 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% |
Monro Operating Margin 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=operating-margin&ticker=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();