Functional Brands (MEHA) Accumulated Expenses (2024 - 2026)
Functional Brands (MEHA) reported Accumulated Expenses of $899,621 for Q2 2026, up 9.0% from the prior quarter.
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Analysis
Functional Brands (MEHA) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Functional Brands posted Accumulated Expenses of $838,121, up 13.1% from FY2024.
- By year, Accumulated Expenses came in at $741,106 in FY2024.
- Five-year quarterly Accumulated Expenses spans a low of $741,106 in Q4 2024 and a high of $965,782 in Q3 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $825,537 (Q1 2026), $838,121 (Q4 2025) and $965,782 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 334.70 Bn | 290.68 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 67.39 Bn | 62.44 Bn | 3.30 Bn |
| 3 | Kenvue | 33.10 Bn | 28.72 Bn | 2.30 Bn |
| 4 | Estee Lauder Companies | 32.68 Bn | 20.76 Bn | 2.74 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.70 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.32 Bn | 20.85 Bn | 693.90 Mn |
| 7 | Clorox | 9.75 Bn | 8.19 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.14 Bn | 5.11 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.62 Bn | 4.29 Bn | 245.00 Mn |
| 10 | Functional Brands | 426,716.59 | 426,716.59 | 1.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 899,621.00 |
| Mar 31, 2026 | 825,537.00 |
| Dec 31, 2025 | 838,121.00 |
| Sep 30, 2025 | 965,782.00 |
| Dec 31, 2024 | 741,106.00 |
API Access
Functional Brands Accumulated 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=accumulated-expenses&ticker=MEHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MEHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();