Mama's Creations (MAMA) Change in Accured Expenses (2010 - 2026)
Mama's Creations' Change in Accured Expenses was $2.59 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with -$2.4 million a year earlier and up 955.1% from the prior quarter.
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Analysis
Mama's Creations (MAMA) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mama's Creations' Change in Accured Expenses was $7.36 million through Jul 31, 2026, up 460.0% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $3.61 million.
- Change in Accured Expenses shows a five-year compound annual growth rate of 105.2% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was $79,000 in FY2025 (-83.4%), $476,000 in FY2024 (-78.3%), $2.19 million in FY2023 (+86.4%) and $1.18 million in FY2022.
- Quarterly Change in Accured Expenses has moved between -$3.99 million (fiscal Q2 2025) and $5.2 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in two of the last four quarters, with growth averaging 40.7%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q4 2024 (growth of 340.7%); the worst was fiscal Q1 2027 (a decline of 83.4%).
- Per Business Quant data, MAMA's Change in Accured Expenses in the three fiscal quarters before Q2 2027 was $245,000 (Q1 2027), -$668,000 (Q4 2026) and $5.2 million (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | - |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 113.25 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | -26.00 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 22.60 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | -15.90 Mn |
| 10 | Mama's Creations | 609.58 Mn | 408.54 Mn | 13.08 Mn | 2.59 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 2.59 Mn |
| Apr 30, 2026 | 245,000.00 |
| Jan 31, 2026 | -668,000.00 |
| Oct 31, 2025 | 5.20 Mn |
| Jul 31, 2025 | -2.40 Mn |
| Apr 30, 2025 | 1.47 Mn |
| Jan 31, 2025 | -1.79 Mn |
| Oct 31, 2024 | 4.03 Mn |
| Jul 31, 2024 | -3.99 Mn |
| Apr 30, 2024 | 1.83 Mn |
| Jan 31, 2024 | 2.33 Mn |
| Oct 31, 2023 | 1.20 Mn |
| Jul 31, 2023 | -3.75 Mn |
| Apr 30, 2023 | 697,000.00 |
| Jan 31, 2023 | 528,000.00 |
| Oct 31, 2022 | 492,720.00 |
| Jul 31, 2022 | 74,841.00 |
| Apr 30, 2022 | 1.10 Mn |
| Jan 31, 2022 | 613,582.00 |
| Oct 31, 2021 | -187,727.00 |
API Access
Mama's Creations Change in Accured Expenses 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=change-in-accured-expenses&ticker=MAMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=MAMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();