Kaixin Holdings (KXIN) Other Operating Expenses (2017 - 2019)
Kaixin Holdings (KXIN) reported Other Operating Expenses of $91,000 for FY2025, down 90.6% from $963,000 in FY2024.
Analysis
Kaixin Holdings (KXIN) Other Operating Expenses (2017 - 2019) Analysis & Trends
Dating back to FY2017, Kaixin Holdings' Other Operating Expenses record includes 9 years.
- Other Operating Expenses has a five-year compound annual growth rate of -25.9% (FY2020 to FY2025).
- The FY2025 figure ranks as the lowest annual Other Operating Expenses since FY2019.
- According to Business Quant data, Other Operating Expenses came in at $963,000 in FY2024 (-70.9%), $3.31 million in FY2023 (+58.0%), $2.1 million in FY2022 (-98.5%) and $144.14 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn |
| 10 | Kaixin Holdings | 3.36 Mn | -1.11 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 83.33 Mn |
| Mar 31, 2019 | -17.73 Mn |
| Dec 31, 2018 | 27.88 Mn |
| Sep 30, 2018 | 1.01 Mn |
| Jun 30, 2018 | -8.54 Mn |
| Mar 31, 2018 | 639,486.00 |
| Dec 31, 2017 | -1.48 Mn |
| Sep 30, 2017 | -41.00 |
API Access
Kaixin Holdings Other Operating 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=other-operating-expenses&ticker=KXIN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=KXIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();