China Foods Holdings (CFOO) Receivables - Net (2019 - 2023)
China Foods Holdings' Receivables - Net was $38,831 in Q4 2023, up 658.4% from $5,120 a year earlier and up 660.3% from the prior quarter.
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Analysis
China Foods Holdings (CFOO) Receivables - Net (2019 - 2023) Analysis & Trends
From Q4 2019 onward, China Foods Holdings has reported Receivables - Net for 10 quarters.
- Receivables - Net shows a four-year compound annual growth rate of -48.0% (FY2019 to FY2023).
- In earlier years, Receivables - Net was $5,120 in FY2022 and $530,196 in FY2019.
- The Q4 2023 figure marks the highest quarterly Receivables - Net since Q3 2021.
- Per Business Quant data, CFOO's Receivables - Net in the three quarters before Q4 2023 was $5,107 (Q3 2023), $5,104 (Q2 2023) and $5,096 (Q1 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 346.43 Bn | 302.42 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 69.04 Bn | 64.10 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 34.63 Bn | 22.70 Bn | 2.74 Bn |
| 4 | Kenvue | 34.35 Bn | 29.97 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 32.85 Bn | 30.17 Bn | 1.60 Bn |
| 6 | Church & Dwight | 22.69 Bn | 21.21 Bn | 693.90 Mn |
| 7 | Clorox | 9.84 Bn | 8.28 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.00 Bn | 4.97 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.65 Bn | 4.32 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, 2023 | 38,831.00 |
| Sep 30, 2023 | 5,107.00 |
| Jun 30, 2023 | 5,104.00 |
| Mar 31, 2023 | 5,096.00 |
| Dec 31, 2022 | 5,120.00 |
| Sep 30, 2021 | 167,183.00 |
| Jun 30, 2021 | 167,223.00 |
| Mar 31, 2021 | 164,682.00 |
| Mar 31, 2020 | 193,190.00 |
| Dec 31, 2019 | 530,196.00 |
API Access
China Foods Holdings Receivables - 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=receivables-net&ticker=CFOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-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=receivables-net&ticker=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();