Monro (MNRO) Operating Expenses (2010 - 2026)
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Analysis
Monro (MNRO) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 173.87 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 9.28 Bn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 3.09 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 4.46 Bn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 805.00 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 1.02 Bn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 5.73 Bn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 1.71 Bn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 2.20 Bn |
| 10 | Monro | 338.33 Mn | 294.30 Mn | 99.95 Mn | 97.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 97.36 Mn |
| Jun 27, 2026 | 96.70 Mn |
| Dec 27, 2025 | 83.80 Mn |
| Sep 27, 2025 | 90.36 Mn |
| Jun 28, 2025 | 112.98 Mn |
| Mar 29, 2025 | 117.94 Mn |
| Dec 28, 2024 | 94.84 Mn |
| Sep 28, 2024 | 93.18 Mn |
| Jun 29, 2024 | 95.94 Mn |
| Mar 30, 2024 | 96.72 Mn |
| Dec 23, 2023 | 91.29 Mn |
| Sep 23, 2023 | 92.62 Mn |
| Jun 24, 2023 | 97.05 Mn |
| Mar 25, 2023 | 95.47 Mn |
| Dec 24, 2022 | 89.61 Mn |
| Sep 24, 2022 | 93.26 Mn |
| Jun 25, 2022 | 95.93 Mn |
| Mar 26, 2022 | 101.74 Mn |
| Dec 25, 2021 | 93.15 Mn |
| Sep 25, 2021 | 96.21 Mn |
API Access
Monro Operating Expenses 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-expenses&ticker=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();