Empery Digital (EMPD) Accumulated Expenses (2020 - 2026)
Empery Digital's Accumulated Expenses came in at $1.53 million for Q2 2026, up 59.8% from $957,438 a year earlier and up 10.0% from the prior quarter.
Empery Digital (EMPD) Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Empery Digital's Accumulated Expenses was $560,761, down 59.3% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 75.1% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $1.38 million in FY2024 (-55.9%), $3.13 million in FY2023 (+53.0%), $2.05 million in FY2022 (+165.1%) and $771,631 in FY2021.
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses since Q2 2024.
- Year-over-year, Accumulated Expenses increased in two of the last eight quarters, with an average decline of 25.7%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2022 (growth of 165.1%), and the weakest in Q1 2025 (a decline of 63.7%).
- Business Quant data shows EMPD's Accumulated Expenses at $1.39 million (Q1 2026), $560,761 (Q4 2025) and $949,375 (Q3 2025) in the three quarters before Q2 2026.
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
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.53 Mn |
| Mar 31, 2026 | 1.39 Mn |
| Dec 31, 2025 | 560,761.00 |
| Sep 30, 2025 | 949,375.00 |
| Jun 30, 2025 | 957,438.00 |
| Mar 31, 2025 | 1.24 Mn |
| Dec 31, 2024 | 1.38 Mn |
| Sep 30, 2024 | 1.52 Mn |
| Jun 30, 2024 | 1.74 Mn |
| Mar 31, 2024 | 3.41 Mn |
| Dec 31, 2023 | 3.13 Mn |
| Sep 30, 2023 | 1.81 Mn |
| Jun 30, 2023 | 1.45 Mn |
| Mar 31, 2023 | 1.59 Mn |
| Dec 31, 2022 | 2.05 Mn |
| Sep 30, 2022 | 2.50 Mn |
| Jun 30, 2022 | 1.34 Mn |
| Mar 31, 2022 | 1.86 Mn |
| Dec 31, 2021 | 771,631.00 |
| Sep 30, 2021 | 154,366.00 |
Empery Digital Accumulated Expenses 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=accumulated-expenses&ticker=EMPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=EMPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();