Intchains (ICG) Price to Earnings (2023 - 2025)
Intchains' (ICG) Price to Earnings stood at 7.99 in the quarter ended Sep 30, 2025, down 80.7% from 41.45 a year earlier and down 79.1% from the prior quarter.
Analysis
Intchains (ICG) Price to Earnings (2023 - 2025) Analysis & Trends
For the year ended Dec 31, 2024, Intchains' Price to Earnings came in at 27.63.
- The figure for the quarter ended Sep 30, 2025 is the lowest quarterly Price to Earnings in data going back to the quarter ended Mar 31, 2023.
- Per Business Quant, the preceding three quarters came in at 38.19 (quarter ended Jun 30, 2025), 36.53 (quarter ended Mar 31, 2025) and 27.97 (quarter ended Dec 31, 2024).
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 |
|---|---|
| Sep 30, 2025 | 7.99 |
| Jun 30, 2025 | 38.19 |
| Mar 31, 2025 | 36.53 |
| Dec 31, 2024 | 27.97 |
| Sep 30, 2024 | 41.45 |
| Jun 30, 2024 | 152.07 |
| Jun 30, 2023 | 33.81 |
| Mar 31, 2023 | 14.41 |
API Access
Intchains Price to Earnings 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-earnings&ticker=ICG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=ICG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();