Mama's Creations (MAMA) Total Liabilities (2011 - 2026)
Mama's Creations (MAMA) posted Total Liabilities of $34.02 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 57.2% from $21.65 million a year earlier and up 5.8% from the prior quarter.
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Analysis
Mama's Creations (MAMA) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Mama's Creations' Total Liabilities came in at $33.08 million, up 49.2% from FY2025.
- Annual Total Liabilities shows a five-year compound annual growth rate of 42.0% (FY2021 to FY2026).
- In prior fiscal years, Mama's Creations' Total Liabilities was $22.17 million in FY2025 (-13.1%), $25.52 million in FY2024 (+15.6%), $22.07 million in FY2023 (+0.7%) and $21.92 million in FY2022 (+282.0%).
- Quarterly Total Liabilities has run from a low of $6.49 million in fiscal Q3 2022 to a high of $34.44 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last five quarters, with growth averaging 19.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was fiscal Q1 2023, with growth of 288.1%; the weakest was fiscal Q2 2025, with a decline of 14.3%.
- According to Business Quant data, Total Liabilities for the three prior fiscal quarters was $32.17 million (Q1 2027), $33.08 million (Q4 2026) and $34.44 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 68.14 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 44.56 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 9.41 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 36.95 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 22.81 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 8.90 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 10.45 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 5.43 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 3.37 Bn |
| 10 | Mama's Creations | 619.96 Mn | 418.91 Mn | 13.08 Mn | 34.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 34.02 Mn |
| Apr 30, 2026 | 32.17 Mn |
| Jan 31, 2026 | 33.08 Mn |
| Oct 31, 2025 | 34.44 Mn |
| Jul 31, 2025 | 21.65 Mn |
| Apr 30, 2025 | 26.29 Mn |
| Jan 31, 2025 | 22.17 Mn |
| Oct 31, 2024 | 24.90 Mn |
| Jul 31, 2024 | 20.65 Mn |
| Apr 30, 2024 | 26.89 Mn |
| Jan 31, 2024 | 25.52 Mn |
| Oct 31, 2023 | 24.54 Mn |
| Jul 31, 2023 | 24.10 Mn |
| Apr 30, 2023 | 21.85 Mn |
| Jan 31, 2023 | 22.07 Mn |
| Oct 31, 2022 | 22.72 Mn |
| Jul 31, 2022 | 24.60 Mn |
| Apr 30, 2022 | 24.52 Mn |
| Jan 31, 2022 | 21.92 Mn |
| Oct 31, 2021 | 6.49 Mn |
API Access
Mama's Creations Total Liabilities 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=total-liabilities&ticker=MAMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=MAMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();