China Foods Holdings (CFOO) Price to Book (2018 - 2022)
China Foods Holdings' Price to Book came in at 2904.97 for Q4 2022, compared with 56.61 a year earlier and up 809.9% from the prior quarter.
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Analysis
China Foods Holdings (CFOO) Price to Book (2018 - 2022) Analysis & Trends
Going back to Q1 2019, China Foods Holdings' Price to Book data covers 14 quarters.
- Going back by year, Price to Book was 56.61 in FY2021 (+71.6%), 32.99 in FY2020 (+145.9%) and 13.42 in FY2019.
- The Q4 2022 figure represents the highest quarterly Price to Book in data going back to Q1 2019.
- Business Quant data shows CFOO's Price to Book at 319.28 (Q3 2022), 189.99 (Q2 2022) and 70.16 (Q1 2022) in the three quarters before Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 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 | 2,904.97 |
| Sep 30, 2022 | 319.28 |
| Jun 30, 2022 | 189.99 |
| Mar 31, 2022 | 70.16 |
| Dec 31, 2021 | 56.61 |
| Sep 30, 2021 | 86.40 |
| Jun 30, 2021 | 179.14 |
| Mar 31, 2021 | 48.10 |
| Dec 31, 2020 | 32.99 |
| Sep 30, 2020 | 25.76 |
| Jun 30, 2020 | 5.58 |
| Mar 31, 2020 | 5.27 |
| Dec 31, 2019 | 13.42 |
| Dec 31, 2018 | 4.93 |
API Access
China Foods Holdings Price to Book 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=price-to-book&ticker=CFOO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=CFOO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();