Functional Brands (MEHA) Amortizatization of Intangibles (2024 - 2026)
Functional Brands' Amortizatization of Intangibles came in at $11,533 for Q2 2026, unchanged from $11,533 a year earlier and unchanged from the prior quarter.
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Analysis
Functional Brands (MEHA) Amortizatization of Intangibles (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Functional Brands reported Amortizatization of Intangibles of $46,130; for FY2025, it came in at $46,130, unchanged from FY2024.
- Going back by year, Amortizatization of Intangibles was $46,130 in FY2024.
- Business Quant data shows MEHA's Amortizatization of Intangibles at $11,532 (Q1 2026), $11,533 (Q4 2025) and $11,532 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | - |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | - |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 42.30 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | - |
| 10 | Functional Brands | 426,716.59 | 426,716.59 | 1.12 Mn | 11,533.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11,533.00 |
| Mar 31, 2026 | 11,532.00 |
| Dec 31, 2025 | 11,533.00 |
| Sep 30, 2025 | 11,532.00 |
| Jun 30, 2025 | 11,533.00 |
| Mar 31, 2025 | 11,532.00 |
| Dec 31, 2024 | 11,533.00 |
API Access
Functional Brands 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=MEHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "MEHA", "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=MEHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();