Kaixin Holdings (KXIN) Cost of Revenue (2017 - 2019)
Kaixin Holdings (KXIN) posted Cost of Revenue of $31.19 million for FY2023, down 62.0% from $82.19 million in FY2022.
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Analysis
Kaixin Holdings (KXIN) Cost of Revenue (2017 - 2019) Analysis & Trends
Since FY2017, Kaixin Holdings has reported Cost of Revenue for 7 years.
- Annual Cost of Revenue shows a five-year compound annual growth rate of -40.5% (FY2018 to FY2023).
- The FY2023 figure stands as the lowest annual Cost of Revenue since FY2020.
- Business Quant data shows KXIN's Cost of Revenue at $82.19 million in FY2022 (-66.9%), $248.58 million in FY2021, $1.21 million in FY2020 (-97.4%) and $45.66 million in FY2019 (-89.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 95.78 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 31.75 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 10.11 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 17.38 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.15 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | 17.60 Bn |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 5.99 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 2.38 Bn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 2.32 Bn |
| 10 | Kaixin Holdings | 3.07 Mn | -1.40 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2019 | 14,000.00 |
| Mar 31, 2019 | 57,000.00 |
| Dec 31, 2018 | 419.57 Mn |
| Sep 30, 2018 | 177,984.00 |
| Jun 30, 2018 | 140,000.00 |
| Mar 31, 2018 | 111,785.00 |
| Dec 31, 2017 | 26,968.00 |
| Sep 30, 2017 | 2,612.00 |
API Access
Kaixin Holdings Cost of Revenue 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=cost-of-revenue&ticker=KXIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=KXIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();