Ebang International Holdings (EBON) Price to Book (2020 - 2026)
Ebang International Holdings' (EBON) Price to Book came in at 0.06 for Q2 2026, down 29.8% from 0.08 a year earlier.
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Analysis
Ebang International Holdings (EBON) Price to Book (2020 - 2026) Analysis & Trends
For FY2025, Ebang International Holdings' Price to Book stood at 0.08, down 43.2% from FY2024.
- In prior years, Ebang International Holdings' Price to Book was 0.14 in FY2024 (-59.6%), 0.34 in FY2023 (+504.1%), 0.06 in FY2022 (-88.6%) and 0.50 in FY2021 (-92.6%).
- The Q2 2026 figure stands as the lowest quarterly Price to Book since Q4 2022.
- The strongest year-over-year quarter for Price to Book in the past five years was Q4 2023, with growth of 504.1%; the weakest was Q2 2023, with a decline of 100.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,757.49 Bn | 5,531.65 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,520.17 Bn | 2,145.88 Bn | 27.22 Bn |
| 3 | Broadcom | 1,730.62 Bn | 1,656.67 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,201.21 Bn | 1,139.97 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,031.02 Bn | 987.76 Bn | 6.20 Bn |
| 6 | Asml Holding | 716.82 Bn | 672.66 Bn | 5.90 Bn |
| 7 | Intel | 585.95 Bn | 470.68 Bn | 6.51 Bn |
| 8 | Lam Research | 432.69 Bn | 409.49 Bn | 3.48 Bn |
| 9 | Applied Materials | 430.35 Bn | 395.79 Bn | 4.59 Bn |
| 10 | Ebang International Holdings | 12.44 Mn | 10.66 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.06 |
| Dec 31, 2025 | 0.08 |
| Jun 30, 2025 | 0.08 |
| Dec 31, 2024 | 0.14 |
| Jun 30, 2024 | 0.14 |
| Dec 31, 2023 | 0.34 |
| Jun 30, 2023 | 0.14 |
| Dec 31, 2022 | 0.06 |
| Jun 30, 2022 | 11,995.26 |
| Dec 31, 2021 | 0.50 |
| Jun 30, 2021 | 1.04 |
| Dec 31, 2020 | 6.74 |
| Jun 30, 2020 | 1,105.01 |
API Access
Ebang International 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=EBON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "EBON", "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=EBON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();