Macy's (M) Shares Outstanding (Diluted) (2009 - 2026)
Macy's (M) reported Shares Outstanding (Diluted) of 271.9 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 1.4% from 275.9 million a year earlier and down 0.3% from the prior quarter.
Macy's (M) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Macy's posted Shares Outstanding (Diluted) of 276.5 million, down 1.8% from FY2025.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -2.3% (FY2021 to FY2026).
- By fiscal year, Shares Outstanding (Diluted) came in at 281.6 million in FY2025 (+1.2%), 278.2 million in FY2024 (-1.0%), 281.1 million in FY2023 (-10.5%) and 314 million in FY2022 (+0.9%).
- The fiscal Q2 2027 figure ranks as the lowest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q4 2009.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last six quarters, with an average decline of 1.0% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was fiscal Q2 2025 (growth of 2.8%); the low point was fiscal Q2 2023 (a decline of 12.9%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 272.7 million (Q1 2027), 276.5 million (Q4 2026) and 274.6 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,654.24 Bn | 2,170.93 Bn | 104.83 Bn | 10.90 Bn |
| 2 | Home Depot | 289.19 Bn | 282.43 Bn | 16.12 Bn | 996.00 Mn |
| 3 | Tjx Companies | 143.39 Bn | 120.94 Bn | 5.07 Bn | 1.12 Bn |
| 4 | Lowes Companies | 105.29 Bn | 98.25 Bn | 8.58 Bn | 560.00 Mn |
| 5 | Ross Stores | 75.79 Bn | 58.72 Bn | 2.12 Bn | 319.45 Mn |
| 6 | Target | 72.00 Bn | 66.59 Bn | 8.94 Bn | 456.60 Mn |
| 7 | O Reilly Automotive | 70.61 Bn | 69.69 Bn | 2.52 Bn | 828.88 Mn |
| 8 | Carvana | 66.52 Bn | 58.12 Bn | 1.38 Bn | 739.96 Mn |
| 9 | Autozone | 47.57 Bn | 46.47 Bn | 2.52 Bn | 16.85 Mn |
| 10 | Macy's | 6.01 Bn | 1.73 Bn | 2.21 Bn | 271.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 271.90 Mn |
| May 2, 2026 | 272.70 Mn |
| Jan 31, 2026 | 276.50 Mn |
| Nov 1, 2025 | 274.60 Mn |
| Aug 2, 2025 | 275.90 Mn |
| May 3, 2025 | 280.70 Mn |
| Feb 1, 2025 | 281.60 Mn |
| Nov 2, 2024 | 281.50 Mn |
| Aug 3, 2024 | 281.60 Mn |
| May 4, 2024 | 281.00 Mn |
| Feb 3, 2024 | 278.20 Mn |
| Oct 28, 2023 | 277.60 Mn |
| Jul 29, 2023 | 273.80 Mn |
| Apr 29, 2023 | 277.80 Mn |
| Jan 28, 2023 | 281.10 Mn |
| Oct 29, 2022 | 277.70 Mn |
| Jul 30, 2022 | 277.40 Mn |
| Apr 30, 2022 | 290.90 Mn |
| Jan 29, 2022 | 314.00 Mn |
| Oct 30, 2021 | 313.80 Mn |
Macy's 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=M&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "M", "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=M&period=max&api_key=YOUR_API_KEY");
const data = await res.json();