Empery Digital (EMPD) Operating Expenses (2021 - 2026)
Empery Digital's Operating Expenses came in at $42 million for Q2 2026, compared with $3.28 million a year earlier and down 49.6% from the prior quarter.
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Analysis
Empery Digital (EMPD) Operating Expenses (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Empery Digital reported Operating Expenses of $272.31 million; for FY2025, it was $153.12 million.
- Operating Expenses carries a five-year compound annual growth rate of 157.0% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $11.65 million in FY2024 (-46.2%), $21.66 million in FY2023 (-6.6%), $23.2 million in FY2022 (-20.3%) and $29.12 million in FY2021.
- The five-year range for quarterly Operating Expenses is $1.72 million (Q4 2024) to $112.54 million (Q4 2025).
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2022 (growth of 52.3%), and the weakest in Q4 2024 (a decline of 63.2%).
- Business Quant data shows EMPD's Operating Expenses at $83.37 million (Q1 2026), $112.54 million (Q4 2025) and $34.39 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 734.00 Mn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | 3.44 Bn |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 599.10 Mn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 1.28 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 788.00 Mn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | 2.66 Bn |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | 440.00 Mn |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | 1.64 Bn |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 255.60 Mn |
| 10 | Empery Digital | 83.77 Mn | 83.77 Mn | -68,184.00 | 42.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 42.00 Mn |
| Mar 31, 2026 | 83.37 Mn |
| Dec 31, 2025 | 112.54 Mn |
| Sep 30, 2025 | 34.39 Mn |
| Jun 30, 2025 | 3.28 Mn |
| Mar 31, 2025 | 2.08 Mn |
| Dec 31, 2024 | 1.72 Mn |
| Sep 30, 2024 | 2.92 Mn |
| Jun 30, 2024 | 3.36 Mn |
| Mar 31, 2024 | 3.66 Mn |
| Dec 31, 2023 | 4.68 Mn |
| Sep 30, 2023 | 6.40 Mn |
| Jun 30, 2023 | 5.12 Mn |
| Mar 31, 2023 | 5.47 Mn |
| Dec 31, 2022 | 5.07 Mn |
| Sep 30, 2022 | 5.54 Mn |
| Jun 30, 2022 | 6.28 Mn |
| Mar 31, 2022 | 6.31 Mn |
| Dec 31, 2021 | 4.95 Mn |
| Sep 30, 2021 | 4.74 Mn |
API Access
Empery Digital Operating 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=operating-expenses&ticker=EMPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=EMPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();