Functional Brands (MEHA) Depreciation & Amortization (CF) (2024 - 2026)
Functional Brands (MEHA) posted Depreciation & Amortization (CF) of $4,514 for Q2 2026, down 6.4% from $4,823 a year earlier and down 1.5% from the prior quarter.
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Analysis
Functional Brands (MEHA) Depreciation & Amortization (CF) (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Depreciation & Amortization (CF) at Functional Brands was $18,746; for FY2025, it came in at $20,698, down 57.2% from FY2024.
- In prior years, Functional Brands' Depreciation & Amortization (CF) was $48,371 in FY2024.
- On a year-over-year basis, Depreciation & Amortization (CF) has declined in each of the last three quarters.
- According to Business Quant data, Depreciation & Amortization (CF) for the three prior quarters was $4,582 (Q1 2026), $4,708 (Q4 2025) and $4,942 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn | 812.00 Mn |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn | 155.00 Mn |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn | 145.00 Mn |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn | 198.00 Mn |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn | 167.00 Mn |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn | 64.30 Mn |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn | 78.00 Mn |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn | 26.10 Mn |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn | 32.00 Mn |
| 10 | Functional Brands | 426,716.59 | 426,716.59 | 1.12 Mn | 4,514.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4,514.00 |
| Mar 31, 2026 | 4,582.00 |
| Dec 31, 2025 | 4,708.00 |
| Sep 30, 2025 | 4,942.00 |
| Jun 30, 2025 | 4,823.00 |
| Mar 31, 2025 | 6,225.00 |
| Dec 31, 2024 | 7,795.00 |
API Access
Functional Brands Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=MEHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=MEHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();