China Foods Holdings (CFOO) Receivables (2019 - 2023)
China Foods Holdings' Receivables came in at $41,836 for Q4 2023, up 161.8% from $15,983 a year earlier and up 405.0% from the prior quarter.
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Analysis
China Foods Holdings (CFOO) Receivables (2019 - 2023) Analysis & Trends
At the end of FY2023, China Foods Holdings' Receivables was $650,068.
- Receivables carries a four-year compound annual growth rate of 4.7% (FY2019 to FY2023).
- Going back by year, Receivables was $15,983 in FY2022 and $541,940 in FY2019.
- The Q4 2023 figure represents the highest quarterly Receivables since Q3 2021.
- Business Quant data shows CFOO's Receivables at $8,285 (Q3 2023), $7,870 (Q2 2023) and $8,001 (Q1 2023) in the three quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn | 6.06 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn | 1.96 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn | 1.52 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn | 2.48 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn | 1.86 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn | 596.80 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn | 813.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn | 174.53 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 Bn | 245.00 Mn | 357.00 Mn |
| 10 | China Foods Holdings | 21.26 Mn | 21.15 Mn | 2.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 41,836.00 |
| Sep 30, 2023 | 8,285.00 |
| Jun 30, 2023 | 7,870.00 |
| Mar 31, 2023 | 8,001.00 |
| Dec 31, 2022 | 15,983.00 |
| Sep 30, 2021 | 262,541.00 |
| Jun 30, 2021 | 262,952.00 |
| Mar 31, 2021 | 164,682.00 |
| Mar 31, 2020 | 193,190.00 |
| Dec 31, 2019 | 541,940.00 |
API Access
China Foods Holdings Receivables 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=receivables&ticker=CFOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();