Mama's Creations (MAMA) Total Non-Current Liabilities (2014 - 2026)
Mama's Creations' Total Non-Current Liabilities was $10.39 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 52.4% from $6.81 million a year earlier but down 7.2% from the prior quarter.
Mama's Creations (MAMA) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Non-Current Liabilities at Mama's Creations came in at $12.31 million, up 139.4% from FY2025.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 48.7% (FY2021 to FY2026).
- In earlier fiscal years, Total Non-Current Liabilities was $5.14 million in FY2025 (-41.8%), $8.83 million in FY2024 (-13.4%), $10.19 million in FY2023 (-21.2%) and $12.94 million in FY2022 (+664.1%).
- Quarterly Total Non-Current Liabilities has moved between $1.81 million (fiscal Q3 2022) and $14.13 million (fiscal Q1 2023) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for five straight quarters, with growth averaging 32.3% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was fiscal Q4 2022 (growth of 664.1%); the worst was fiscal Q2 2025 (a decline of 42.9%).
- Per Business Quant data, MAMA's Total Non-Current Liabilities in the three fiscal quarters before Q2 2027 was $11.19 million (Q1 2027), $12.31 million (Q4 2026) and $12.31 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 21.57 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 8.50 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 8.16 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Mama's Creations | 606.76 Mn | 405.71 Mn | 13.08 Mn | 10.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 10.39 Mn |
| Apr 30, 2026 | 11.19 Mn |
| Jan 31, 2026 | 12.31 Mn |
| Oct 31, 2025 | 12.31 Mn |
| Jul 31, 2025 | 6.81 Mn |
| Apr 30, 2025 | 7.57 Mn |
| Jan 31, 2025 | 5.14 Mn |
| Oct 31, 2024 | 6.06 Mn |
| Jul 31, 2024 | 6.30 Mn |
| Apr 30, 2024 | 8.37 Mn |
| Jan 31, 2024 | 8.83 Mn |
| Oct 31, 2023 | 10.20 Mn |
| Jul 31, 2023 | 11.03 Mn |
| Apr 30, 2023 | 9.56 Mn |
| Jan 31, 2023 | 10.19 Mn |
| Oct 31, 2022 | 11.57 Mn |
| Jul 31, 2022 | 13.58 Mn |
| Apr 30, 2022 | 14.13 Mn |
| Jan 31, 2022 | 12.94 Mn |
| Oct 31, 2021 | 1.81 Mn |
Mama's Creations Total Non-Current 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-non-current-liabilities&ticker=MAMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=MAMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();