Monro (MNRO) Gross Margin (2010 - 2026)
Monro's Gross Margin was 35.24% in fiscal Q2 2027 (quarter ended Sep 26, 2026), down 0.45 percentage points from 35.69% a year earlier but up 0.27 percentage points from the prior quarter.
Monro (MNRO) Gross Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Monro's Gross Margin was 34.76% through Sep 26, 2026, up 0.15 percentage points year-over-year; for FY2026 (ended Mar 28, 2026), it came in at 35.02%, up 0.08 percentage points from FY2025.
- Gross Margin shows a five-year change of -0.08 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Gross Margin was 34.94% in FY2025 (-0.47 pp), 35.41% in FY2024 (+0.99 pp), 34.42% in FY2023 (-1.03 pp) and 35.45% in FY2022 (+0.34 pp).
- Quarterly Gross Margin has moved between 31.90% (fiscal Q4 2022) and 37.24% (fiscal Q1 2025) over five years.
- Compared with a year earlier, Gross Margin was higher in three of the last eight quarters, with an average year-over-year change of -0.56 percentage points.
- The best year-over-year quarter for Gross Margin over five years was fiscal Q1 2025 (a gain of 2.25 percentage points); the worst was fiscal Q4 2022 (a drop of 3.15 percentage points).
- Per Business Quant data, MNRO's Gross Margin in the three fiscal quarters before Q2 2027 was 34.97% (Q1 2027), 33.92% (Q4 2026) and 34.89% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,931.82 Bn | 2,428.49 Bn | 107.37 Bn | 53.17% |
| 2 | Home Depot | 348.68 Bn | 341.92 Bn | 16.12 Bn | 33.67% |
| 3 | Tjx Companies | 150.97 Bn | 128.51 Bn | 5.07 Bn | 33.41% |
| 4 | Lowes Companies | 128.03 Bn | 120.99 Bn | 8.58 Bn | 33.04% |
| 5 | Ross Stores | 74.86 Bn | 57.79 Bn | 2.12 Bn | 33.83% |
| 6 | O Reilly Automotive | 73.48 Bn | 72.56 Bn | 2.52 Bn | 51.45% |
| 7 | Target | 72.25 Bn | 66.84 Bn | 8.94 Bn | 33.67% |
| 8 | Carvana | 53.50 Bn | 43.09 Bn | 1.52 Bn | 18.92% |
| 9 | Autozone | 53.15 Bn | 52.00 Bn | 3.52 Bn | 53.34% |
| 10 | Monro | 346.75 Mn | 302.72 Mn | 99.95 Mn | 35.24% |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 35.24% |
| Jun 27, 2026 | 34.97% |
| Mar 28, 2026 | 33.92% |
| Dec 27, 2025 | 34.89% |
| Sep 27, 2025 | 35.69% |
| Jun 28, 2025 | 35.51% |
| Mar 29, 2025 | 32.98% |
| Dec 28, 2024 | 34.28% |
| Sep 28, 2024 | 35.30% |
| Jun 29, 2024 | 37.24% |
| Mar 30, 2024 | 35.49% |
| Dec 23, 2023 | 35.47% |
| Sep 23, 2023 | 35.70% |
| Jun 24, 2023 | 34.99% |
| Mar 25, 2023 | 33.39% |
| Dec 24, 2022 | 33.85% |
| Sep 24, 2022 | 35.39% |
| Jun 25, 2022 | 34.96% |
| Mar 26, 2022 | 31.90% |
| Dec 25, 2021 | 35.28% |
Monro Gross 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=gross-margin&ticker=MNRO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();