Functional Brands (MEHA) Change in Inventory (2024 - 2026)
Functional Brands' Change in Inventory was $86,803 in Q2 2026, compared with -$74,352 a year earlier and up 106.5% from the prior quarter.
Functional Brands (MEHA) Change in Inventory (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Functional Brands' Change in Inventory was -$14,042 through Jun 30, 2026; for FY2025, it came in at -$106,092.
- In earlier years, Change in Inventory was $1,233 in FY2024.
- The Q2 2026 figure marks the highest quarterly Change in Inventory since Q1 2025.
- Per Business Quant data, MEHA's Change in Inventory in the three quarters before Q2 2026 was $42,037 (Q1 2026), -$100,262 (Q4 2025) and -$42,620 (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 86,803.00 |
| Mar 31, 2026 | 42,037.00 |
| Dec 31, 2025 | -100,262.00 |
| Sep 30, 2025 | -42,620.00 |
| Jun 30, 2025 | -74,352.00 |
| Mar 31, 2025 | 111,142.00 |
| Dec 31, 2024 | -58,688.00 |
Functional Brands Change in Inventory 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-inventory&ticker=MEHA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=MEHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();