Functional Brands (MEHA) Property, Plant & Equipment (Net) (2024 - 2026)
Functional Brands' Property, Plant & Equipment (Net) came in at $28,283 for Q2 2026, down 13.8% from the prior quarter.
Analysis
Functional Brands (MEHA) Property, Plant & Equipment (Net) (2024 - 2026) Analysis & Trends
At the end of FY2025, Functional Brands' Property, Plant & Equipment (Net) was $37,379, down 24.6% from FY2024.
- Going back by year, Property, Plant & Equipment (Net) was $49,564 in FY2024.
- Business Quant data shows MEHA's Property, Plant & Equipment (Net) at $32,797 (Q1 2026), $37,379 (Q4 2025) and $42,086 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 336.76 Bn | 292.75 Bn | 10.28 Bn | 25.36 Bn |
| 2 | Colgate Palmolive | 67.18 Bn | 62.24 Bn | 3.30 Bn | 4.64 Bn |
| 3 | Estee Lauder Companies | 33.32 Bn | 21.40 Bn | 2.74 Bn | 2.81 Bn |
| 4 | Kenvue | 33.09 Bn | 28.70 Bn | 2.30 Bn | 2.23 Bn |
| 5 | Kimberly Clark | 31.38 Bn | 28.71 Bn | 1.60 Bn | 6.95 Bn |
| 6 | Church & Dwight | 22.37 Bn | 20.90 Bn | 693.90 Mn | 826.50 Mn |
| 7 | Clorox | 9.72 Bn | 8.16 Bn | 804.00 Mn | 1.51 Bn |
| 8 | e.l.f. Beauty | 6.17 Bn | 5.15 Bn | 398.84 Mn | 39.69 Mn |
| 9 | Reynolds Consumer Products | 4.71 Bn | 4.37 Bn | 245.00 Mn | 855.00 Mn |
| 10 | Functional Brands | 426,716.59 | 426,716.59 | 1.12 Mn | 28,283.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28,283.00 |
| Mar 31, 2026 | 32,797.00 |
| Dec 31, 2025 | 37,379.00 |
| Sep 30, 2025 | 42,086.00 |
| Dec 31, 2024 | 49,564.00 |
API Access
Functional Brands Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MEHA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MEHA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();