Monro (MNRO) EBITDA Margin (2010 - 2026)
Monro (MNRO) posted EBITDA Margin of 6.30% for fiscal Q2 2027 (quarter ended Sep 26, 2026), down 3.40 percentage points from 9.70% a year earlier and down 0.44 percentage points from the prior quarter.
Monro (MNRO) EBITDA Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 26, 2026, EBITDA Margin at Monro was 7.15%, up 2.30 percentage points year-over-year; for FY2026 (ended Mar 28, 2026), it came in at 7.06%, up 0.21 percentage points from FY2025.
- Annual EBITDA Margin shows a five-year change of -6.22 percentage points (FY2021 to FY2026).
- In prior fiscal years, Monro's EBITDA Margin was 6.85% in FY2025 (-4.39 pp), 11.25% in FY2024 (-0.58 pp), 11.83% in FY2023 (-1.59 pp) and 13.42% in FY2022 (+0.14 pp).
- Quarterly EBITDA Margin has run from a low of -2.32% in fiscal Q4 2025 to a high of 13.94% in fiscal Q3 2022 over five years.
- On a year-over-year basis, EBITDA Margin increased in three of the last eight quarters, with an average year-over-year change of -1.73 percentage points.
- The strongest year-over-year quarter for EBITDA Margin in the past five years was fiscal Q4 2026, with a gain of 6.08 percentage points; the weakest was fiscal Q4 2025, with a drop of 11.38 percentage points.
- According to Business Quant data, EBITDA Margin for the three prior fiscal quarters was 6.74% (Q1 2027), 3.76% (Q4 2026) and 11.54% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 24.28% |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 16.60% |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 15.33% |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 16.17% |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 9.75% |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 19.85% |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 12.60% |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 24.21% |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 23.36% |
| 10 | Monro | 338.33 Mn | 294.30 Mn | 99.95 Mn | 6.30% |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 6.30% |
| Jun 27, 2026 | 6.74% |
| Dec 27, 2025 | 11.54% |
| Sep 27, 2025 | 9.70% |
| Jun 28, 2025 | 3.16% |
| Mar 29, 2025 | 3.38% |
| Dec 28, 2024 | 8.86% |
| Sep 28, 2024 | 10.19% |
| Jun 29, 2024 | 10.57% |
| Mar 30, 2024 | 14.57% |
| Dec 23, 2023 | 12.37% |
| Sep 23, 2023 | 12.57% |
| Jun 24, 2023 | 10.93% |
| Dec 24, 2022 | 12.74% |
| Sep 24, 2022 | 12.96% |
| Jun 25, 2022 | 13.26% |
| Dec 25, 2021 | 13.94% |
| Sep 25, 2021 | 15.66% |
| Jun 26, 2021 | 14.10% |
| Dec 26, 2020 | 12.44% |
Monro EBITDA 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=ebitda-margin&ticker=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();