Monro (MNRO) Operating Margin (2010 - 2025)
Monro's Operating Margin was 6.33% in 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) Operating Margin (2010 - 2025) Analysis & Trends
On a trailing twelve-month basis, Monro's Operating Margin was 0.12% through Dec 27, 2025, 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.
- Operating Margin has now declined for three consecutive fiscal years, with a five-year change of -7.04 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Operating Margin 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 marks the highest quarterly Operating Margin since fiscal Q3 2024.
- Compared with a year earlier, Operating Margin was higher in three of the last eight quarters, with an average year-over-year change of -2.54 percentage points.
- The best year-over-year quarter for Operating Margin over five years was fiscal Q4 2021 (a gain of 6.64 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 Q3 2026 was 4.41% (Q2 2026), -2.02% (Q1 2026) and -8.08% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,659.84 Bn | 2,176.54 Bn | 104.83 Bn | 13.69% |
| 2 | Home Depot | 287.59 Bn | 280.83 Bn | 16.12 Bn | 14.29% |
| 3 | Tjx Companies | 147.38 Bn | 124.93 Bn | 5.07 Bn | 13.09% |
| 4 | Lowes Companies | 105.03 Bn | 97.99 Bn | 8.58 Bn | 13.67% |
| 5 | Ross Stores | 74.93 Bn | 57.86 Bn | 2.12 Bn | 17.62% |
| 6 | Target | 71.05 Bn | 65.64 Bn | 8.94 Bn | 9.65% |
| 7 | O Reilly Automotive | 70.25 Bn | 69.33 Bn | 2.52 Bn | 20.15% |
| 8 | Carvana | 69.96 Bn | 61.56 Bn | 1.38 Bn | 9.22% |
| 9 | Autozone | 46.92 Bn | 45.82 Bn | 2.52 Bn | 19.08% |
| 10 | Monro | 413.07 Mn | 375.26 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 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();