Hongchang International (HCIL) Operating Leases (2019 - 2023)
Hongchang International (HCIL) posted Operating Leases of $92,641 for fiscal Q2 2023 (quarter ended Jun 30, 2023), down 17.4% from the prior quarter.
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Analysis
Hongchang International (HCIL) Operating Leases (2019 - 2023) Analysis & Trends
At the end of FY2020 (ended Dec 31, 2020), Hongchang International's Operating Leases came in at $56,570, down 67.2% from FY2019.
- In prior fiscal years, Hongchang International's Operating Leases was $172,610 in FY2019.
- The fiscal Q2 2023 figure stands as the lowest quarterly Operating Leases since fiscal Q2 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Hongchang International | 57.07 Mn | 57.35 Mn | 718,842.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 92,641.00 |
| Mar 31, 2023 | 112,215.00 |
| Mar 31, 2022 | 112,215.00 |
| Jun 30, 2021 | 14,302.00 |
| Mar 31, 2021 | 35,216.00 |
| Dec 31, 2020 | 56,570.00 |
| Sep 30, 2020 | 74,655.00 |
| Jun 30, 2020 | 128,397.00 |
| Mar 31, 2020 | 146,088.00 |
| Dec 31, 2019 | 172,610.00 |
| Sep 30, 2019 | 143,325.00 |
API Access
Hongchang International Operating Leases 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=operating-leases&ticker=HCIL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=HCIL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();