Mama's Creations (MAMA) Long-Term Debt Repayments (2015 - 2026)
Mama's Creations (MAMA) posted Long-Term Debt Repayments of $295,000 for fiscal Q2 2027 (quarter ended Jul 31, 2026), down 70.4% from $997,000 a year earlier but up 0.3% from the prior quarter.
Mama's Creations (MAMA) Long-Term Debt Repayments (2015 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Long-Term Debt Repayments at Mama's Creations was -$566,000; for FY2026 (ended Jan 31, 2026), it was $345,000, down 13.1% from FY2025.
- Annual Long-Term Debt Repayments shows a five-year compound annual growth rate of -11.7% (FY2021 to FY2026).
- In prior fiscal years, Mama's Creations' Long-Term Debt Repayments was $397,000 in FY2025 (+46.0%), $272,000 in FY2024 (+15.7%), $235,000 in FY2023 (+18.0%) and $199,176 in FY2022 (-69.0%).
- Quarterly Long-Term Debt Repayments has run from a low of -$15.67 million in fiscal Q4 2026 to a high of $14.51 million in fiscal Q3 2026 over five years.
- On a year-over-year basis, Long-Term Debt Repayments increased in 1 of the last five quarters, with growth averaging 44.6%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q1 2024, with growth of 568.9%; the weakest was fiscal Q3 2025, with a decline of 84.9%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $294,000 (Q1 2027), -$15.67 million (Q4 2026) and $14.51 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 42.00 Mn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 1.51 Mn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | - |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 2.30 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 1.77 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | 220.00 Mn |
| 10 | Mama's Creations | 550.87 Mn | 349.82 Mn | 13.08 Mn | 374,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 374,000.00 |
| Apr 30, 2026 | 372,000.00 |
| Jan 31, 2026 | -17.44 Mn |
| Oct 31, 2025 | 15.20 Mn |
| Jul 31, 2025 | 1.98 Mn |
| Apr 30, 2025 | 605,000.00 |
| Jan 31, 2025 | -2.37 Mn |
| Oct 31, 2024 | 598,000.00 |
| Jul 31, 2024 | 2.08 Mn |
| Apr 30, 2024 | 95,000.00 |
| Jan 31, 2024 | -1.17 Mn |
| Oct 31, 2023 | 571,000.00 |
| Jul 31, 2023 | 431,000.00 |
| Apr 30, 2023 | 438,000.00 |
| Jan 31, 2023 | -861,000.00 |
| Oct 31, 2022 | 448,133.00 |
| Jul 31, 2022 | 719,169.00 |
| Apr 30, 2022 | -71,302.00 |
| Jan 31, 2022 | 54,266.00 |
| Oct 31, 2021 | 50,836.00 |
Mama's Creations Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=MAMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=MAMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();