Functional Brands (MEHA) Change in Accured Expenses (2024 - 2026)
Functional Brands' Change in Accured Expenses came in at $696,948 for Q2 2026, up 168.9% from $259,211 a year earlier and up 662.4% from the prior quarter.
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Analysis
Functional Brands (MEHA) Change in Accured Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Functional Brands reported Change in Accured Expenses of -$38,601; for FY2025, it was -$480,795.
- Going back by year, Change in Accured Expenses was $132,161 in FY2024.
- Business Quant data shows MEHA's Change in Accured Expenses at $91,416 (Q1 2026), -$1.07 million (Q4 2025) and $245,002 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (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 | 135.00 Mn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | - |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 197.00 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 | 26.10 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 50.00 Mn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | -2.43 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 50.00 Mn |
| 10 | Functional Brands | 426,716.59 | 426,716.59 | 1.12 Mn | 696,948.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 696,948.00 |
| Mar 31, 2026 | 91,416.00 |
| Dec 31, 2025 | -1.07 Mn |
| Sep 30, 2025 | 245,002.00 |
| Jun 30, 2025 | 259,211.00 |
| Mar 31, 2025 | 86,959.00 |
| Dec 31, 2024 | -199,248.00 |
API Access
Functional Brands Change in Accured 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=change-in-accured-expenses&ticker=MEHA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MEHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();