Solana (HSDT) Price to Book (2016 - 2026)
Solana's Price to Book came in at 0.79 for Q2 2026, up 326.6% from 0.19 a year earlier and up 18.4% from the prior quarter.
Analysis
Solana (HSDT) Price to Book (2016 - 2026) Analysis & Trends
For FY2025, Solana's Price to Book was 0.00, down 100.0% from FY2024.
- Going back by year, Price to Book was 85.72 in FY2024 (-29.9%), 122.23 in FY2023 (+380.9%), 25.42 in FY2022 (-55.1%) and 56.64 in FY2021 (-72.3%).
- The Q2 2026 figure represents the highest quarterly Price to Book since Q1 2025.
- Year-over-year, Price to Book increased in 1 of the last seven quarters, with an average decline of 14.7%.
- The fastest year-over-year change in Price to Book over five years came in Q4 2023 (growth of 380.9%), and the weakest in Q4 2025 (a decline of 99.9%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cme | 106.56 Bn | 94.66 Bn | - |
| 2 | Intercontinental Exchange | 89.45 Bn | 83.19 Bn | - |
| 3 | Robinhood Markets | 88.18 Bn | 69.22 Bn | - |
| 4 | Nasdaq | 53.47 Bn | 50.90 Bn | 1.50 Bn |
| 5 | Interactive Brokers | 37.14 Bn | 14.26 Bn | - |
| 6 | Cboe Global Markets | 33.00 Bn | 24.66 Bn | 731.60 Mn |
| 7 | LPL Financial Holdings | 25.71 Bn | 21.03 Bn | - |
| 8 | Tradeweb Markets | 25.33 Bn | 17.34 Bn | - |
| 9 | Circle Internet | 21.30 Bn | 15.18 Bn | 288.85 Mn |
| 10 | Solana | 185.83 Mn | 46.40 Mn | 2.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.79 |
| Mar 31, 2026 | 0.67 |
| Dec 31, 2025 | 0.21 |
| Jun 30, 2025 | 0.19 |
| Mar 31, 2025 | 95.97 |
| Dec 31, 2024 | 85.72 |
| Sep 30, 2024 | 26.92 |
| Jun 30, 2024 | 19.47 |
| Mar 31, 2024 | 130.32 |
| Dec 31, 2023 | 122.23 |
| Sep 30, 2023 | 108.04 |
| Jun 30, 2023 | 59.36 |
| Mar 31, 2023 | 59.29 |
| Dec 31, 2022 | 25.42 |
| Sep 30, 2022 | 9.10 |
| Jun 30, 2022 | 54.98 |
| Mar 31, 2022 | 87.76 |
| Dec 31, 2021 | 56.64 |
| Sep 30, 2021 | 341.99 |
| Jun 30, 2021 | 235.37 |
API Access
Solana 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=HSDT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "HSDT", "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=HSDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();