Maison Solutions (MSS) EPS (Diluted) (2022 - 2026)
Maison Solutions (MSS) recorded EPS (Diluted) of $0.03 in fiscal Q3 2026 (quarter ended Jan 31, 2026), compared with -$0.20 a year earlier.
Maison Solutions (MSS) EPS (Diluted) (2022 - 2026) Analysis & Trends
On a TTM basis, Maison Solutions' EPS (Diluted) came in at $1.63 as of Jan 31, 2026; for FY2025 (ended Apr 30, 2025), it was $3.35.
- Across earlier fiscal years, EPS (Diluted) came in at -$9.32 in FY2024, $3.91 in FY2023 and -$1.76 in FY2022.
- Quarterly EPS (Diluted) has ranged from -$9.14 in fiscal Q4 2024 to $4.66 in fiscal Q4 2025 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at -$0.43 (Q2 2026), -$0.61 (Q1 2026) and $4.66 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 936.41 Bn | 892.84 Bn | 49.13 Bn | 0.80 |
| 2 | Costco Wholesale | 440.73 Bn | 364.01 Bn | 12.19 Bn | 6.75 |
| 3 | Sysco | 39.69 Bn | 33.94 Bn | 4.13 Bn | 1.15 |
| 4 | Kroger | 38.21 Bn | 24.36 Bn | 7.86 Bn | 1.05 |
| 5 | Dollar General | 29.54 Bn | 24.22 Bn | 3.68 Bn | 2.48 |
| 6 | Caseys General Stores | 25.34 Bn | 23.33 Bn | 1.24 Bn | 7.37 |
| 7 | Dollar Tree | 23.81 Bn | 20.43 Bn | 2.10 Bn | 2.70 |
| 8 | US Foods Holding | 22.49 Bn | 22.29 Bn | 1.92 Bn | 1.24 |
| 9 | Tractor Supply | 17.20 Bn | 16.37 Bn | 1.68 Bn | 0.69 |
| 10 | Maison Solutions | 582,021.89 | -4.15 Mn | 7.54 Mn | 0.03 |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 0.03 |
| Oct 31, 2025 | -0.43 |
| Jul 31, 2025 | -0.61 |
| Apr 30, 2025 | 4.66 |
| Jan 31, 2025 | -0.20 |
| Oct 31, 2024 | -0.65 |
| Jul 31, 2024 | -0.42 |
| Apr 30, 2024 | -9.14 |
| Jan 31, 2024 | -0.13 |
| Oct 31, 2023 | 0.05 |
| Jul 31, 2023 | -0.33 |
| Apr 30, 2023 | 1.03 |
| Jan 31, 2023 | 3.09 |
| Oct 31, 2022 | 1.65 |
| Jul 31, 2022 | -3.73 |
Maison Solutions EPS (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=eps-diluted&ticker=MSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-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=eps-diluted&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();