Monro (MNRO) EBIT (2010 - 2025)
Monro (MNRO) recorded EBIT of $18.57 million in fiscal Q3 2026 (quarter ended Dec 27, 2025), up 86.4% from $9.96 million a year earlier and up 45.6% from the prior quarter.
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Analysis
Monro (MNRO) EBIT (2010 - 2025) Analysis & Trends
On a TTM basis, Monro's EBIT came in at $1.4 million as of Dec 27, 2025, down 97.0% year-over-year; for FY2025 (ended Mar 29, 2025), it was $12.57 million, down 82.4% from FY2024.
- Annual EBIT has declined for three straight fiscal years, with a five-year compound annual growth rate of -34.2% (FY2020 to FY2025).
- Across earlier fiscal years, EBIT came in at $71.43 million in FY2024 (-10.4%), $79.75 million in FY2023 (-21.3%), $101.3 million in FY2022 (+40.2%) and $72.24 million in FY2021 (-29.0%).
- The fiscal Q3 2026 figure is the highest quarterly EBIT since fiscal Q3 2024.
- On a year-over-year basis, EBIT rose in two of the last six quarters, with growth averaging 5.4%.
- Peak year-over-year performance for EBIT in the last five years was growth of 144.9% in fiscal Q1 2022, against a decline of 53.4% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $12.75 million (Q2 2026), -$6.08 million (Q1 2026) and -$23.85 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 27.46 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 6.84 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.99 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 3.55 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 1.10 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 2.56 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 985.75 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 680.00 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 923.76 Mn |
| 10 | Monro | 419.98 Mn | 382.16 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 18.57 Mn |
| Sep 27, 2025 | 12.75 Mn |
| Jun 28, 2025 | -6.08 Mn |
| Mar 29, 2025 | -23.85 Mn |
| Dec 28, 2024 | 9.96 Mn |
| Sep 28, 2024 | 13.20 Mn |
| Jun 29, 2024 | 13.25 Mn |
| Mar 30, 2024 | 10.34 Mn |
| Dec 23, 2023 | 21.38 Mn |
| Sep 23, 2023 | 22.36 Mn |
| Jun 24, 2023 | 17.35 Mn |
| Mar 25, 2023 | 6.18 Mn |
| Dec 24, 2022 | 23.85 Mn |
| Sep 24, 2022 | 23.47 Mn |
| Jun 25, 2022 | 26.26 Mn |
| Mar 26, 2022 | 11.47 Mn |
| Dec 25, 2021 | 27.44 Mn |
| Sep 25, 2021 | 34.48 Mn |
| Jun 26, 2021 | 27.92 Mn |
| Mar 27, 2021 | 20.72 Mn |
API Access
Monro EBIT 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=ebit&ticker=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();