Empery Digital (EMPD) Price to Book (2021 - 2026)
Empery Digital's (EMPD) Price to Book came in at 0.88 for Q2 2026, up 239.9% from 0.26 a year earlier and up 18.2% from the prior quarter.
Analysis
Empery Digital (EMPD) Price to Book (2021 - 2026) Analysis & Trends
For FY2025, Empery Digital's Price to Book stood at 0.31, down 99.1% from FY2024.
- In prior years, Empery Digital's Price to Book was 33.21 in FY2024, 174826.75 in FY2022 (+396.6%) and 35207.71 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Price to Book since Q4 2024.
- On a year-over-year basis, Price to Book increased in three of the last six quarters, with growth averaging 66.3%.
- According to Business Quant data, Price to Book for the three prior quarters was 0.75 (Q1 2026), 0.31 (Q4 2025) and 0.21 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn |
| 10 | Empery Digital | 84.61 Mn | 84.61 Mn | -68,184.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.88 |
| Mar 31, 2026 | 0.75 |
| Dec 31, 2025 | 0.31 |
| Sep 30, 2025 | 0.21 |
| Jun 30, 2025 | 0.26 |
| Mar 31, 2025 | 0.14 |
| Dec 31, 2024 | 33.21 |
| Sep 30, 2024 | 1.08 |
| Jun 30, 2024 | 0.22 |
| Mar 31, 2024 | 143.08 |
| Dec 31, 2022 | 174,826.75 |
| Sep 30, 2022 | 27,621.17 |
| Jun 30, 2022 | 24,893.72 |
| Mar 31, 2022 | 11,928.78 |
| Dec 31, 2021 | 35,207.71 |
API Access
Empery Digital 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=EMPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "EMPD", "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=EMPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();