Intchains (ICG) Price to Book (2023 - 2026)
Intchains' Price to Book came in at 0.31 for the quarter ended Jun 30, 2026, down 58.2% from 0.75 a year earlier.
Analysis
Intchains (ICG) Price to Book (2023 - 2026) Analysis & Trends
For the year ended Dec 31, 2025, Intchains' Price to Book was 0.78, down 45.5% from the prior year.
- Going back by year, Price to Book was 1.43 in the year ended Dec 31, 2024 (-74.2%) and 5.54 in the year ended Dec 31, 2023.
- The figure for the quarter ended Jun 30, 2026 represents the lowest quarterly Price to Book in data going back to the quarter ended Mar 31, 2023.
- The fastest year-over-year change in Price to Book over five years came in the quarter ended Mar 31, 2024 (growth of 13.0%), and the weakest in the quarter ended Jun 30, 2025 (a decline of 80.1%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn |
| 10 | Intchains | 57.68 Mn | -210.25 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.31 |
| Dec 31, 2025 | 0.79 |
| Sep 30, 2025 | 0.66 |
| Jun 30, 2025 | 0.75 |
| Mar 31, 2025 | 1.20 |
| Dec 31, 2024 | 1.40 |
| Sep 30, 2024 | 1.89 |
| Jun 30, 2024 | 3.77 |
| Mar 31, 2024 | 3.97 |
| Dec 31, 2023 | 5.62 |
| Sep 30, 2023 | 2.76 |
| Jun 30, 2023 | 3.50 |
| Mar 31, 2023 | 3.51 |
API Access
Intchains 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=ICG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ICG", "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=ICG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();