China Foods Holdings (CFOO) Property, Plant & Equipment (Net) (2019 - 2026)
China Foods Holdings' Property, Plant & Equipment (Net) came in at $24,708 for Q2 2026, down 19.9% from $30,858 a year earlier and down 5.8% from the prior quarter.
China Foods Holdings (CFOO) Property, Plant & Equipment (Net) (2019 - 2026) Analysis & Trends
At the end of FY2025, China Foods Holdings' Property, Plant & Equipment (Net) was $27,860, down 18.7% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of -32.1% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $34,264 in FY2024 (+164.0%), $12,981 in FY2023 (-76.6%), $55,495 in FY2022 (-58.1%) and $132,604 in FY2021 (-31.5%).
- The Q2 2026 figure represents the lowest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Year-over-year, Property, Plant & Equipment (Net) has declined for three consecutive quarters, with growth averaging 52.3% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q4 2024 (growth of 164.0%), and the weakest in Q4 2023 (a decline of 76.6%).
- Business Quant data shows CFOO's Property, Plant & Equipment (Net) at $26,217 (Q1 2026), $27,860 (Q4 2025) and $29,346 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 390.78 Bn | 342.58 Bn | 11.60 Bn | 25.52 Bn |
| 2 | Colgate Palmolive | 77.96 Bn | 72.79 Bn | 3.23 Bn | 4.61 Bn |
| 3 | Estee Lauder Companies | 41.21 Bn | 28.31 Bn | 2.81 Bn | 2.71 Bn |
| 4 | Kenvue | 37.02 Bn | 32.73 Bn | 2.31 Bn | 2.23 Bn |
| 5 | Kimberly Clark | 36.84 Bn | 32.92 Bn | 1.44 Bn | 7.07 Bn |
| 6 | Church & Dwight | 26.38 Bn | 24.77 Bn | 749.40 Mn | 834.80 Mn |
| 7 | Clorox | 12.88 Bn | 11.29 Bn | 770.00 Mn | 1.48 Bn |
| 8 | e.l.f. Beauty | 7.00 Bn | 5.82 Bn | 370.22 Mn | 37.74 Mn |
| 9 | Reynolds Consumer Products | 5.26 Bn | 4.95 Bn | 236.00 Mn | 862.00 Mn |
| 10 | China Foods Holdings | 21.26 Mn | 21.15 Mn | 2.00 | 24,708.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24,708.00 |
| Mar 31, 2026 | 26,217.00 |
| Dec 31, 2025 | 27,860.00 |
| Sep 30, 2025 | 29,346.00 |
| Jun 30, 2025 | 30,858.00 |
| Mar 31, 2025 | 32,557.00 |
| Dec 31, 2024 | 34,264.00 |
| Sep 30, 2024 | 16,859.00 |
| Jun 30, 2024 | 16,584.00 |
| Mar 31, 2024 | 12,668.00 |
| Dec 31, 2023 | 12,981.00 |
| Sep 30, 2023 | 17,656.00 |
| Jun 30, 2023 | 25,847.00 |
| Mar 31, 2023 | 41,245.00 |
| Dec 31, 2022 | 55,495.00 |
| Sep 30, 2022 | 68,360.00 |
| Jun 30, 2022 | 92,866.00 |
| Mar 31, 2022 | 112,879.00 |
| Dec 31, 2021 | 132,604.00 |
| Sep 30, 2021 | 155,512.00 |
China Foods Holdings 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=CFOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "CFOO", "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=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();