Kaixin Holdings (KXIN) Non Operating Interest Expenses (2018 - 2019)
Kaixin Holdings' Non Operating Interest Expenses was $7,000 in FY2025, down 98.0% from $342,000 in FY2024.
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Analysis
Kaixin Holdings (KXIN) Non Operating Interest Expenses (2018 - 2019) Analysis & Trends
From FY2017 onward, Kaixin Holdings has reported Non Operating Interest Expenses for 9 years.
- Non Operating Interest Expenses has now declined for three consecutive years, though with a five-year compound annual growth rate of 47.6% (FY2020 to FY2025).
- The FY2025 figure marks the lowest annual Non Operating Interest Expenses since FY2020.
- Per Business Quant data, Non Operating Interest Expenses in earlier years was $342,000 in FY2024 (-34.9%), $525,000 in FY2023 (-49.2%), $1.03 million in FY2022 (+322.0%) and $245,000 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn | 1.31 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn | 583.00 Mn |
| 3 | Tjx Companies | 147.13 Bn | 124.67 Bn | 5.07 Bn | - |
| 4 | Lowes Companies | 102.34 Bn | 95.31 Bn | 8.58 Bn | - |
| 5 | Ross Stores | 74.83 Bn | 57.76 Bn | 2.12 Bn | - |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 98.00 Mn |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn | 69.87 Mn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn | 101.00 Mn |
| 9 | Autozone | 46.02 Bn | 44.93 Bn | 2.52 Bn | - |
| 10 | Kaixin Holdings | 3.19 Mn | -1.29 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | -404,000.00 |
| Mar 31, 2019 | -630,000.00 |
| Jun 30, 2018 | -765,000.00 |
API Access
Kaixin Holdings Non Operating 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=non-operating-interest-expenses&ticker=KXIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "KXIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=KXIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();