China Foods Holdings (CFOO) Capital Expenditures (2020 - 2024)
China Foods Holdings' Capital Expenditures came in at $19,285 for Q4 2024, compared with $3.00 a year earlier.
Analysis
China Foods Holdings (CFOO) Capital Expenditures (2020 - 2024) Analysis & Trends
For FY2024, China Foods Holdings' Capital Expenditures was $23,454.
- Capital Expenditures carries a five-year compound annual growth rate of -27.9% (FY2019 to FY2024).
- Going back by year, Capital Expenditures was $746.00 in FY2023, $27,358 in FY2021 (-63.6%) and $75,060 in FY2020 (-37.8%).
- The Q4 2024 figure represents the highest quarterly Capital Expenditures since Q3 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 1.02 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 128.00 Mn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 151.00 Mn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 64.00 Mn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 352.00 Mn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 29.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 86.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 1.43 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 57.00 Mn |
| 10 | China Foods Holdings | 21.26 Mn | 21.15 Mn | 2.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | 19,285.00 |
| Dec 31, 2023 | 3.00 |
| Dec 31, 2020 | 4,997.00 |
| Sep 30, 2020 | 42,975.00 |
| Mar 31, 2020 | 27,088.00 |
API Access
China Foods Holdings Capital Expenditures 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=capital-expenditures&ticker=CFOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();