Monro (MNRO) Shares Outstanding (Diluted) (2009 - 2026)
Monro (MNRO) reported Weighted Average Shares Outstanding (Diluted) of 31.3 million for fiscal Q2 2027 (quarter ended Sep 26, 2026), down 0.2% from 31.36 million a year earlier but up 3.8% from the prior quarter.
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Analysis
Monro (MNRO) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Mar 28, 2026), Monro posted Weighted Average Shares Outstanding (Diluted) of 30 million, up 0.2% from FY2025.
- Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of -2.4% (FY2021 to FY2026).
- By fiscal year, Weighted Average Shares Outstanding (Diluted) came in at 29.94 million in FY2025 (-6.1%), 31.89 million in FY2024 (-2.3%), 32.65 million in FY2023 (-4.1%) and 34.04 million in FY2022 (+0.5%).
- Five-year quarterly Weighted Average Shares Outstanding (Diluted) spans a low of 29.94 million in fiscal Q4 2025 and a high of 34.06 million in fiscal Q3 2022.
- Year over year, Weighted Average Shares Outstanding (Diluted) gained in four of the last eight quarters, with an average decline of 1.4%.
- The high point for year-over-year Weighted Average Shares Outstanding (Diluted) in five years was fiscal Q3 2022 (growth of 0.7%); the low point was fiscal Q4 2025 (a decline of 6.1%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 30.15 million (Q1 2027), 30 million (Q4 2026) and 31.4 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,979.57 Bn | 2,476.24 Bn | 107.37 Bn | 10.93 Bn |
| 2 | Home Depot | 350.34 Bn | 343.58 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 150.76 Bn | 128.31 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 130.11 Bn | 123.07 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Carvana | 80.38 Bn | 71.27 Bn | 1.52 Bn | 739.91 Mn |
| 6 | Ross Stores | 76.38 Bn | 59.31 Bn | 2.12 Bn | 319.45 Mn |
| 7 | Target | 73.52 Bn | 68.11 Bn | 8.94 Bn | 456.60 Mn |
| 8 | O Reilly Automotive | 71.92 Bn | 71.02 Bn | 2.68 Bn | 812.20 Mn |
| 9 | Autozone | 52.04 Bn | 50.89 Bn | 3.52 Bn | 16.87 Mn |
| 10 | Monro | 338.33 Mn | 294.30 Mn | 99.95 Mn | 31.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 31.30 Mn |
| Jun 27, 2026 | 30.15 Mn |
| Mar 28, 2026 | 30.00 Mn |
| Dec 27, 2025 | 31.40 Mn |
| Sep 27, 2025 | 31.36 Mn |
| Jun 28, 2025 | 29.97 Mn |
| Mar 29, 2025 | 29.94 Mn |
| Dec 28, 2024 | 31.27 Mn |
| Sep 28, 2024 | 31.22 Mn |
| Jun 29, 2024 | 31.22 Mn |
| Mar 30, 2024 | 31.89 Mn |
| Dec 23, 2023 | 32.19 Mn |
| Sep 23, 2023 | 32.27 Mn |
| Jun 24, 2023 | 31.95 Mn |
| Mar 25, 2023 | 32.65 Mn |
| Dec 24, 2022 | 31.99 Mn |
| Sep 24, 2022 | 32.73 Mn |
| Jun 25, 2022 | 33.99 Mn |
| Mar 26, 2022 | 34.04 Mn |
| Dec 25, 2021 | 34.06 Mn |
API Access
Monro Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MNRO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MNRO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();