Functional Brands (MEHA) Depreciation and Depletion (2024 - 2026)
Functional Brands' Depreciation and Depletion came in at $4,512 for Q2 2026, down 27.5% from $6,225 a year earlier and down 1.5% from the prior quarter.
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Analysis
Functional Brands (MEHA) Depreciation and Depletion (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Functional Brands reported Depreciation and Depletion of $18,744; for FY2025, it was $20,698, down 57.2% from FY2024.
- Going back by year, Depreciation and Depletion was $48,371 in FY2024.
- Business Quant data shows MEHA's Depreciation and Depletion at $4,582 (Q1 2026), $4,708 (Q4 2025) and $4,942 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (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 | 79.00 Mn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 22.00 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 | 10.70 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 | 4,512.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 4,512.00 |
| Mar 31, 2026 | 4,582.00 |
| Dec 31, 2025 | 4,708.00 |
| Sep 30, 2025 | 4,942.00 |
| Jun 30, 2025 | 6,225.00 |
| Dec 31, 2024 | 7,795.00 |
API Access
Functional Brands Depreciation and Depletion 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-depletion&ticker=MEHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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-depletion&ticker=MEHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();