Maison Solutions Inc. (MSS) Operating Expenses (2022 - 2026)
Maison Solutions' Operating Expenses was $10.36 million in fiscal Q3 2026 (quarter ended Jan 31, 2026), up 76.8% from $5.86 million a year earlier and up 32.7% from the prior quarter.
Maison Solutions Inc. (MSS) Operating Expenses (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Maison Solutions' Operating Expenses was $33.27 million through Jan 31, 2026, up 41.4% year-over-year; for FY2025 (ended Apr 30, 2025), it came in at $27.61 million, up 92.7% from FY2024.
- Operating Expenses has now increased for three consecutive fiscal years, with a three-year compound annual growth rate of 44.7% (FY2022 to FY2025).
- In earlier fiscal years, Operating Expenses was $14.33 million in FY2024 (+15.8%), $12.37 million in FY2023 (+35.7%) and $9.11 million in FY2022.
- The fiscal Q3 2026 figure marks the highest quarterly Operating Expenses since fiscal Q1 2023.
- Compared with a year earlier, Operating Expenses has increased for seven straight quarters, with growth averaging 67.8% over the last seven quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2025 (growth of 142.5%); the worst was fiscal Q1 2024 (a decline of 77.0%).
- Per Business Quant data, MSS's Operating Expenses in the three fiscal quarters before Q3 2026 was $7.81 million (Q2 2026), $6.37 million (Q1 2026) and $8.72 million (Q4 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 10.36 Mn |
| Oct 31, 2025 | 7.81 Mn |
| Jul 31, 2025 | 6.37 Mn |
| Apr 30, 2025 | 8.72 Mn |
| Jan 31, 2025 | 5.86 Mn |
| Oct 31, 2024 | 6.96 Mn |
| Jul 31, 2024 | 6.07 Mn |
| Apr 30, 2024 | 4.64 Mn |
| Jan 31, 2024 | 3.49 Mn |
| Oct 31, 2023 | 2.87 Mn |
| Jul 31, 2023 | 3.32 Mn |
| Apr 30, 2023 | -31.27 Mn |
| Jan 31, 2023 | 4.06 Mn |
| Oct 31, 2022 | 2.44 Mn |
| Jul 31, 2022 | 14.47 Mn |
Maison Solutions Inc. Operating Expenses 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=operating-expenses&ticker=MSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();