Maison Solutions (MSS) Shares Outstanding (Diluted) (2022 - 2026)
Maison Solutions (MSS) recorded Shares Outstanding (Diluted) of 729,337 in fiscal Q3 2026 (quarter ended Jan 31, 2026), up 109.0% from 349,010 a year earlier and up 42.9% from the prior quarter.
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Analysis
Maison Solutions (MSS) Shares Outstanding (Diluted) (2022 - 2026) Analysis & Trends
For FY2025 (ended Apr 30, 2025), Maison Solutions reported Shares Outstanding (Diluted) of 354,965, down 0.9% from FY2024.
- Annual Shares Outstanding (Diluted) has a three-year compound annual growth rate of 3.5% (FY2022 to FY2025).
- Across earlier fiscal years, Shares Outstanding (Diluted) came in at 358,277 in FY2024 (+12.0%), 320,000 in FY2023 (unchanged) and 320,000 in FY2022.
- The fiscal Q3 2026 figure is the highest quarterly Shares Outstanding (Diluted) in data going back to fiscal Q4 2022.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased for three consecutive quarters, with growth averaging 24.3% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Diluted) in the last five years was growth of 109.0% in fiscal Q3 2026, against a decline of 10.2% in fiscal Q3 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at 510,431 (Q2 2026), 437,288 (Q1 2026) and 354,965 (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 996.08 Bn | 958.78 Bn | 49.13 Bn | 7.98 Bn |
| 2 | Costco Wholesale | 472.58 Bn | 395.86 Bn | 12.19 Bn | 444.43 Mn |
| 3 | Kroger | 40.51 Bn | 26.67 Bn | 7.86 Bn | 608.00 Mn |
| 4 | Sysco | 38.21 Bn | 30.14 Bn | 4.05 Bn | 482.95 Mn |
| 5 | Dollar General | 30.30 Bn | 24.97 Bn | 3.68 Bn | 221.51 Mn |
| 6 | Dollar Tree | 26.43 Bn | 23.05 Bn | 2.10 Bn | 190.90 Mn |
| 7 | Caseys General Stores | 25.82 Bn | 23.81 Bn | 1.24 Bn | 37.14 Mn |
| 8 | US Foods Holding | 23.58 Bn | 23.38 Bn | 1.90 Bn | 217.70 Mn |
| 9 | Tractor Supply | 19.47 Bn | 18.63 Bn | 1.42 Bn | 521.50 Mn |
| 10 | Maison Solutions | 566,397.90 | -4.31 Mn | 7.54 Mn | 729,337.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 729,337.00 |
| Oct 31, 2025 | 510,431.00 |
| Jul 31, 2025 | 437,288.00 |
| Apr 30, 2025 | 354,965.00 |
| Jan 31, 2025 | 349,010.00 |
| Oct 31, 2024 | 349,010.00 |
| Jul 31, 2024 | 393,810.00 |
| Apr 30, 2024 | 358,277.00 |
| Jan 31, 2024 | 388,718.00 |
| Oct 31, 2023 | 335,604.00 |
| Jul 31, 2023 | 320,000.00 |
| Apr 30, 2023 | 320,000.00 |
| Jan 31, 2023 | 320,000.00 |
| Oct 31, 2022 | 320,000.00 |
| Jul 31, 2022 | 320,000.00 |
| Apr 30, 2022 | 320,000.00 |
API Access
Maison Solutions 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=MSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "MSS", "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=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();