Mama's Creations (MAMA) Return on Sales [ROS] (2012 - 2026)
Mama's Creations (MAMA) reported Return on Sales [ROS] of 5.48% for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 0.65 percentage points from 4.83% a year earlier and up 0.43 percentage points from the prior quarter.
Mama's Creations (MAMA) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Mama's Creations' Return on Sales [ROS] came in at 4.55%, up 0.29 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at 4.14%, up 0.19 percentage points from FY2025.
- Return on Sales [ROS] has a five-year change of -4.39 percentage points (FY2021 to FY2026).
- By fiscal year, Return on Sales [ROS] came in at 3.95% in FY2025 (-4.65 pp), 8.61% in FY2024 (+5.58 pp), 3.03% in FY2023 (+2.85 pp) and 0.18% in FY2022 (-8.36 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -9.79% in fiscal Q4 2022 and a high of 9.45% in fiscal Q3 2024.
- Year over year, Return on Sales [ROS] gained in three of the last eight quarters, with an average year-over-year change of -0.90 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2023 (a gain of 18.09 percentage points); the low point was fiscal Q4 2022 (a drop of 18.87 percentage points).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at 5.05% (Q1 2027), 5.58% (Q4 2026) and 1.74% (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 20.80% |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 23.06% |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | -102.70% |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 14.43% |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 23.05% |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 10.72% |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 3.75% |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 2.76% |
| 10 | Mama's Creations | 609.58 Mn | 408.54 Mn | 13.08 Mn | 5.48% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5.48% |
| Apr 30, 2026 | 5.05% |
| Jan 31, 2026 | 5.58% |
| Oct 31, 2025 | 1.74% |
| Jul 31, 2025 | 4.83% |
| Apr 30, 2025 | 4.48% |
| Jan 31, 2025 | 5.74% |
| Oct 31, 2024 | 1.79% |
| Jul 31, 2024 | 5.68% |
| Apr 30, 2024 | 2.59% |
| Jan 31, 2024 | 7.35% |
| Oct 31, 2023 | 9.45% |
| Jul 31, 2023 | 9.18% |
| Apr 30, 2023 | 8.40% |
| Jan 31, 2023 | 8.30% |
| Oct 31, 2022 | 5.83% |
| Jul 31, 2022 | -3.64% |
| Apr 30, 2022 | 1.20% |
| Jan 31, 2022 | -9.79% |
| Oct 31, 2021 | 0.01% |
Mama's Creations Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=MAMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "MAMA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=MAMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();