Mama's Creations (MAMA) Total Current Liabilities (2011 - 2026)
Mama's Creations (MAMA) posted Total Current Liabilities of $23.64 million for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 59.3% from $14.84 million a year earlier and up 12.7% from the prior quarter.
Mama's Creations (MAMA) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Mama's Creations' Total Current Liabilities came in at $20.77 million, up 22.0% from FY2025.
- Annual Total Current Liabilities has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 38.7% (FY2021 to FY2026).
- In prior fiscal years, Mama's Creations' Total Current Liabilities was $17.03 million in FY2025 (+2.0%), $16.69 million in FY2024 (+40.5%), $11.88 million in FY2023 (+32.2%) and $8.99 million in FY2022 (+122.1%).
- The fiscal Q2 2027 figure stands as the highest quarterly Total Current Liabilities in data going back to fiscal Q4 2012.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 21 quarters, with growth averaging 18.6% over the last eight quarters.
- Over the past five years, the year-over-year growth in Total Current Liabilities ranged from 1.0% (fiscal Q1 2026) to 138.1% (fiscal Q3 2023).
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $20.98 million (Q1 2027), $20.77 million (Q4 2026) and $22.13 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - | 33.58 Bn |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn | 21.59 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn | 3.35 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn | 8.72 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn | 6.94 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn | 3.57 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn | 2.29 Bn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn | 1.87 Bn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn | 2.20 Bn |
| 10 | Mama's Creations | 619.96 Mn | 418.91 Mn | 13.08 Mn | 23.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 23.64 Mn |
| Apr 30, 2026 | 20.98 Mn |
| Jan 31, 2026 | 20.77 Mn |
| Oct 31, 2025 | 22.13 Mn |
| Jul 31, 2025 | 14.84 Mn |
| Apr 30, 2025 | 18.72 Mn |
| Jan 31, 2025 | 17.03 Mn |
| Oct 31, 2024 | 18.84 Mn |
| Jul 31, 2024 | 14.35 Mn |
| Apr 30, 2024 | 18.52 Mn |
| Jan 31, 2024 | 16.69 Mn |
| Oct 31, 2023 | 14.34 Mn |
| Jul 31, 2023 | 13.08 Mn |
| Apr 30, 2023 | 12.29 Mn |
| Jan 31, 2023 | 11.88 Mn |
| Oct 31, 2022 | 11.15 Mn |
| Jul 31, 2022 | 11.02 Mn |
| Apr 30, 2022 | 10.39 Mn |
| Jan 31, 2022 | 8.99 Mn |
| Oct 31, 2021 | 4.68 Mn |
Mama's Creations Total 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-current-liabilities&ticker=MAMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=MAMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();