Hongchang International (HCIL) Price to Sales (2011 - 2025)
Hongchang International's Price to Sales was 6.41 in FY2025 (year ended Dec 31, 2025), down 64.6% from 18.10 in FY2024.
Analysis
Hongchang International (HCIL) Price to Sales (2011 - 2025) Analysis & Trends
From FY2011 onward, Hongchang International has reported Price to Sales for 11 fiscal years.
- Price to Sales has now declined for three consecutive fiscal years.
- The FY2025 figure marks the lowest annual Price to Sales since FY2015.
- Per Business Quant data, Price to Sales in earlier fiscal years was 18.10 in FY2024 (-73.3%), 67.86 in FY2023 (-48.1%) and 130.77 in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Hongchang International | 25.94 Mn | 26.22 Mn | 718,842.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 6.38 |
| Sep 30, 2025 | 5.07 |
| Dec 31, 2024 | 18.10 |
| Sep 30, 2024 | 25.85 |
| Jun 30, 2024 | 22.32 |
| Mar 31, 2024 | 42.69 |
| Dec 31, 2023 | 67.70 |
| Sep 30, 2023 | 1,924.11 |
| Jun 30, 2023 | 2,217.60 |
| Mar 31, 2023 | 6,697.76 |
| Dec 31, 2022 | 130.77 |
| Sep 30, 2022 | 219.44 |
| Jun 30, 2022 | 1,426.31 |
| Sep 30, 2021 | 116.74 |
| Jun 30, 2021 | 638.44 |
| Dec 31, 2020 | 556.33 |
| Sep 30, 2020 | 1,056.50 |
| Jun 30, 2020 | 460.57 |
| Mar 31, 2020 | 137.18 |
| Dec 31, 2019 | 301.77 |
API Access
Hongchang International Price to Sales 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-sales&ticker=HCIL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-sales", "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-sales&ticker=HCIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();