Hongchang International (HCIL) Price to Book (2010 - 2025)
Hongchang International's (HCIL) Price to Book was 1.66 for fiscal Q4 2025 (quarter ended Dec 31, 2025), up 24.2% from 1.34 a year earlier and up 70.6% from the prior quarter.
Hongchang International (HCIL) Price to Book (2010 - 2025) Analysis & Trends
Dating back to fiscal Q4 2010, Hongchang International's Price to Book record includes 24 quarters.
- By fiscal year, Price to Book came in at 1.34 in FY2024 (-70.2%) and 4.49 in FY2023.
- Five-year quarterly Price to Book spans a low of 0.97 in fiscal Q3 2025 and a high of 14.26 in fiscal Q1 2023.
- Year over year, Price to Book gained in 1 of the last seven quarters, with an average decline of 44.6%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 129.94 Bn | 105.31 Bn | - |
| 2 | Mondelez International | 73.72 Bn | 67.04 Bn | 3.99 Bn |
| 3 | Hershey | 32.21 Bn | 28.45 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.65 Bn | 13.18 Bn | 2.03 Bn |
| 5 | General Mills | 16.93 Bn | 14.59 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.38 Bn | 12.16 Bn | 979.60 Mn |
| 7 | Mccormick | 11.89 Bn | 11.54 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.00 Bn | 7.68 Bn | 471.52 Mn |
| 9 | Chewy | 7.12 Bn | 4.40 Bn | 1.01 Bn |
| 10 | Hongchang International | 25.94 Mn | 26.22 Mn | 718,842.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.66 |
| Sep 30, 2025 | 0.97 |
| Mar 31, 2025 | 2.15 |
| Dec 31, 2024 | 1.34 |
| Sep 30, 2024 | 3.45 |
| Jun 30, 2024 | 2.64 |
| Mar 31, 2024 | 2.88 |
| Dec 31, 2023 | 4.49 |
| Sep 30, 2023 | 6.61 |
| Jun 30, 2023 | 4.53 |
| Mar 31, 2023 | 14.26 |
| Jun 30, 2016 | 120.31 |
| Mar 31, 2014 | 11.75 |
| Dec 31, 2013 | 9.24 |
| Sep 30, 2013 | 4.50 |
| Jun 30, 2013 | 8.09 |
| Mar 31, 2013 | 4.15 |
| Dec 31, 2012 | 1.64 |
| Sep 30, 2012 | 2.72 |
| Jun 30, 2012 | 4.33 |
Hongchang International 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=HCIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "HCIL", "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=HCIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();