Wenyuan (WYGC) Interest Expenses (2014 - 2024)
Wenyuan (WYGC) posted Interest Expenses of $26.00 for FY2024, down 92.9% from $365.00 in FY2023.
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Analysis
Wenyuan (WYGC) Interest Expenses (2014 - 2024) Analysis & Trends
Since FY2014, Wenyuan has reported Interest Expenses for 6 years.
- Annual Interest Expenses shows a three-year compound annual growth rate of -62.7% (FY2021 to FY2024).
- The FY2024 figure stands as the lowest annual Interest Expenses in data going back to FY2014.
- Business Quant data shows WYGC's Interest Expenses at $365.00 in FY2023 (-27.0%), $500.00 in FY2022 (unchanged) and $500.00 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | - |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 98.00 Mn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 101.00 Mn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 69.87 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | - |
| 10 | Wenyuan | 4.96 Mn | 4.95 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 26.00 |
| Dec 31, 2023 | 105.00 |
| Sep 30, 2023 | 104.00 |
| Jun 30, 2023 | 101.00 |
| Mar 31, 2023 | 55.00 |
| Dec 31, 2022 | 125.00 |
| Sep 30, 2022 | 47.00 |
| Jun 30, 2022 | 125.00 |
| Mar 31, 2022 | 125.00 |
| Dec 31, 2021 | 125.00 |
| Dec 31, 2015 | 1,628.00 |
| Sep 30, 2015 | -1,628.00 |
| Jun 30, 2015 | 407.00 |
| Mar 31, 2015 | 407.00 |
| Dec 31, 2014 | 2,903.00 |
| Sep 30, 2014 | -142.00 |
| Jun 30, 2014 | 151.00 |
API Access
Wenyuan Interest Expenses 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=interest-expenses&ticker=WYGC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "WYGC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=WYGC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();