Functional Brands (MEHA) Change in Accrued Expenses (2024 - 2026)
Functional Brands' Change in Accrued 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.
Functional Brands (MEHA) Change in Accrued Expenses (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Functional Brands reported Change in Accrued Expenses of -$38,601; for FY2025, it was -$480,795.
- Going back by year, Change in Accrued Expenses was $132,161 in FY2024.
- Business Quant data shows MEHA's Change in Accrued Expenses at $91,416 (Q1 2026), -$1.07 million (Q4 2025) and $245,002 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
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 |
Functional Brands Change in Accrued 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_KEY
import 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();