Kaixin Holdings (KXIN) Price to Book (2018 - 2026)
Kaixin Holdings' Price to Book came in at 0.41 for Q2 2026, down 97.8% from 18.69 a year earlier.
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Analysis
Kaixin Holdings (KXIN) Price to Book (2018 - 2026) Analysis & Trends
For FY2025, Kaixin Holdings' Price to Book was 7.91, down 65.3% from FY2024.
- Price to Book has declined in each of the last five years.
- Going back by year, Price to Book was 22.81 in FY2024 (-96.9%), 739.49 in FY2023 (-78.2%), 3390.84 in FY2022 (-45.0%) and 6165.98 in FY2021 (-86.4%).
- The Q2 2026 figure represents the lowest quarterly Price to Book in data going back to Q1 2018.
- The fastest year-over-year change in Price to Book over five years came in Q2 2022 (growth of 182.1%), and the weakest in Q2 2026 (a decline of 97.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Amazon Com | 2,676.66 Bn | 2,193.36 Bn | 104.83 Bn |
| 2 | Home Depot | 281.92 Bn | 275.16 Bn | 16.12 Bn |
| 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 |
| 7 | O Reilly Automotive | 69.40 Bn | 68.49 Bn | 2.52 Bn |
| 8 | Carvana | 69.33 Bn | 60.93 Bn | 1.38 Bn |
| 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, 2026 | 0.41 |
| Dec 31, 2025 | 7.91 |
| Jun 30, 2025 | 18.69 |
| Dec 31, 2024 | 22.81 |
| Jun 30, 2024 | 110.42 |
| Dec 31, 2023 | 739.49 |
| Jun 30, 2023 | 3,958.91 |
| Dec 31, 2022 | 3,390.84 |
| Jun 30, 2022 | 13,289.42 |
| Dec 31, 2021 | 6,165.98 |
| Jun 30, 2021 | 4,711.18 |
| Dec 31, 2020 | 45,447.70 |
| Jun 30, 2020 | 11,998.92 |
| Dec 31, 2019 | 27,790.12 |
| Jun 30, 2019 | 832.94 |
| Dec 31, 2018 | 4.41 Mn |
| Sep 30, 2018 | 95,525.60 |
| Jun 30, 2018 | 93,725.09 |
| Mar 31, 2018 | 92,303.59 |
API Access
Kaixin Holdings Price to Book 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=price-to-book&ticker=KXIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=KXIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();