Mama's Creations (MAMA) EBITDA (2012 - 2026)
Mama's Creations (MAMA) reported EBITDA of $4.53 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 69.0% from $2.68 million a year earlier and up 5.6% from the prior quarter.
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Analysis
Mama's Creations (MAMA) EBITDA (2012 - 2026) Analysis & Trends
Over the twelve months ended Jul 31, 2026, Mama's Creations' EBITDA came in at $15.66 million, up 69.9% year-over-year; for FY2026 (ended Jan 31, 2026), it was $12.03 million, up 50.0% from FY2025.
- EBITDA has a five-year compound annual growth rate of 23.8% (FY2021 to FY2026).
- By fiscal year, EBITDA came in at $8.02 million in FY2025 (-27.3%), $11.03 million in FY2024 (+160.0%), $4.24 million in FY2023 (+368.4%) and $905,869 in FY2022 (-78.1%).
- Five-year quarterly EBITDA spans a low of -$1.15 million in fiscal Q4 2022 and a high of $4.63 million in fiscal Q4 2026.
- Year over year, EBITDA has now increased in each of the last seven quarters, with growth averaging 39.2% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q1 2024 (growth of 293.3%); the low point was fiscal Q3 2022 (a decline of 84.7%).
- Per Business Quant data, the three fiscal quarters before Q2 2027 came in at $4.29 million (Q1 2027), $4.63 million (Q4 2026) and $2.21 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 2.30 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 778.74 Mn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | -6.17 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 773.40 Mn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 349.90 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 639.10 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 177.33 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 131.70 Mn |
| 10 | Mama's Creations | 619.96 Mn | 418.91 Mn | 13.08 Mn | 4.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 4.53 Mn |
| Apr 30, 2026 | 4.29 Mn |
| Jan 31, 2026 | 4.63 Mn |
| Oct 31, 2025 | 2.21 Mn |
| Jul 31, 2025 | 2.68 Mn |
| Apr 30, 2025 | 2.50 Mn |
| Jan 31, 2025 | 2.77 Mn |
| Oct 31, 2024 | 1.27 Mn |
| Jul 31, 2024 | 2.31 Mn |
| Apr 30, 2024 | 1.45 Mn |
| Jan 31, 2024 | 2.65 Mn |
| Oct 31, 2023 | 3.35 Mn |
| Jul 31, 2023 | 2.74 Mn |
| Apr 30, 2023 | 2.29 Mn |
| Jan 31, 2023 | 2.27 Mn |
| Oct 31, 2022 | 1.91 Mn |
| Jul 31, 2022 | -522,012.00 |
| Apr 30, 2022 | 582,972.00 |
| Jan 31, 2022 | -1.15 Mn |
| Oct 31, 2021 | 146,707.00 |
API Access
Mama's Creations EBITDA 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=ebitda&ticker=MAMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MAMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();