China Foods Holdings (CFOO) Long-Term Debt Repayments (2020 - 2022)
China Foods Holdings (CFOO) posted Long-Term Debt Repayments of $37,378 for FY2023, down 30.8% from $54,021 in FY2022.
Analysis
China Foods Holdings (CFOO) Long-Term Debt Repayments (2020 - 2022) Analysis & Trends
Since FY2020, China Foods Holdings has reported Long-Term Debt Repayments for 4 years.
- Annual Long-Term Debt Repayments shows a three-year compound annual growth rate of -22.2% (FY2020 to FY2023).
- Business Quant data shows CFOO's Long-Term Debt Repayments at $54,021 in FY2022 (-46.1%), $100,189 in FY2021 (+26.2%) and $79,395 in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.86 Bn | 323.62 Bn | 10.28 Bn | 1.03 Bn |
| 2 | Colgate Palmolive | 74.71 Bn | 69.44 Bn | 3.30 Bn | 4.00 Mn |
| 3 | Estee Lauder Companies | 37.75 Bn | 25.83 Bn | 2.74 Bn | - |
| 4 | Kenvue | 36.66 Bn | 32.28 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 35.57 Bn | 32.76 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 24.80 Bn | 23.33 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.32 Bn | 8.59 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.76 Bn | 5.74 Bn | 398.84 Mn | 7.50 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | - |
| 10 | China Foods Holdings | 21.26 Mn | 21.15 Mn | 2.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -21,995.00 |
| Dec 31, 2021 | 31,708.00 |
| Sep 30, 2021 | 36,760.00 |
| Jun 30, 2021 | 14,372.00 |
| Mar 31, 2021 | 17,349.00 |
| Dec 31, 2020 | 76,357.00 |
API Access
China Foods Holdings Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=CFOO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();