Mama's Creations (MAMA) Amortizatization of Intangibles (2022 - 2026)
Mama's Creations (MAMA) recorded Amortizatization of Intangibles of $440,000 in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 15.5% from $381,000 a year earlier and up 2.6% from the prior quarter.
Mama's Creations (MAMA) Amortizatization of Intangibles (2022 - 2026) Analysis & Trends
On a TTM basis, Mama's Creations' Amortizatization of Intangibles came in at $1.71 million as of Jul 31, 2026, up 15.5% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $1.62 million, up 4.9% from FY2025.
- Annual Amortizatization of Intangibles has increased for three straight fiscal years, with a four-year compound annual growth rate of 146.8% (FY2022 to FY2026).
- Across earlier fiscal years, Amortizatization of Intangibles came in at $1.54 million in FY2025 (+40.3%), $1.1 million in FY2024 (+120.0%), $500,000 in FY2023 and $43,660 in FY2022.
- The fiscal Q2 2027 figure is the highest quarterly Amortizatization of Intangibles in data going back to fiscal Q1 2023.
- On a year-over-year basis, Amortizatization of Intangibles has increased for four consecutive quarters, with growth averaging 5.3% over the last eight quarters.
- Peak year-over-year performance for Amortizatization of Intangibles in the last five years was growth of 272.5% in fiscal Q1 2025, against a decline of 15.9% in fiscal Q4 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $429,000 (Q1 2027), $419,000 (Q4 2026) and $424,000 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (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 | - |
| 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 | 57.90 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | - |
| 10 | Mama's Creations | 609.58 Mn | 408.54 Mn | 13.08 Mn | 440,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 440,000.00 |
| Apr 30, 2026 | 429,000.00 |
| Jan 31, 2026 | 419,000.00 |
| Oct 31, 2025 | 424,000.00 |
| Jul 31, 2025 | 381,000.00 |
| Apr 30, 2025 | 370,000.00 |
| Jan 31, 2025 | 343,000.00 |
| Oct 31, 2024 | 388,000.00 |
| Jul 31, 2024 | 388,000.00 |
| Apr 30, 2024 | 380,000.00 |
| Jan 31, 2024 | 408,000.00 |
| Oct 31, 2023 | 388,000.00 |
| Jul 31, 2023 | 202,000.00 |
| Apr 30, 2023 | 102,000.00 |
| Jan 31, 2023 | 133,000.00 |
| Oct 31, 2022 | 137,000.00 |
| Jul 31, 2022 | 116,986.00 |
| Apr 30, 2022 | 113,170.00 |
Mama's Creations Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=MAMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=MAMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();