Monro (MNRO) Shares Outstanding (Diluted) (2010 - 2026)
Monro (MNRO) reported Shares Outstanding (Diluted) of 31.4 million for fiscal Q4 2026 (quarter ended Mar 28, 2026), up 4.9% from 29.94 million a year earlier and unchanged from the prior quarter.
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Analysis
Monro (MNRO) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
Dating back to fiscal Q1 2011, Monro's Shares Outstanding (Diluted) record includes 64 quarters.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -1.5% (FY2021 to FY2026).
- By fiscal year, 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 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, Shares Outstanding (Diluted) has now increased in each of the last three quarters, with an average decline of 1.6% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was fiscal Q4 2026 (growth of 4.9%); the low point was fiscal Q4 2025 (a decline of 6.1%).
- Per Business Quant data, the three fiscal quarters before Q4 2026 came in at 31.4 million (Q3 2026), 31.36 million (Q2 2026) and 29.97 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 319.45 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 456.60 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.85 Mn |
| 10 | Monro | 419.98 Mn | 382.16 Mn | - | 31.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 28, 2026 | 31.40 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 |
| Sep 25, 2021 | 34.03 Mn |
| Jun 26, 2021 | 34.02 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();