Empery Digital (EMPD) Selling, General & Administrative (2021 - 2026)
Empery Digital's Selling, General & Administrative was $3.71 million in Q2 2026, up 30.3% from $2.84 million a year earlier but down 18.9% from the prior quarter.
Empery Digital (EMPD) Selling, General & Administrative (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Empery Digital's Selling, General & Administrative was $32.44 million through Jun 30, 2026, up 312.0% year-over-year; for FY2025, it came in at $28.6 million, up 277.9% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 102.8% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $7.57 million in FY2024 (+18.5%), $6.39 million in FY2023 (-29.4%), $9.05 million in FY2022 (-42.7%) and $15.78 million in FY2021.
- Quarterly Selling, General & Administrative has moved between $586,494 (Q3 2021) and $19.4 million (Q3 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for five straight quarters, with growth averaging 174.4% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q3 2025 (growth of 912.2%); the worst was Q1 2022 (a decline of 79.1%).
- Per Business Quant data, EMPD's Selling, General & Administrative in the three quarters before Q2 2026 was $4.57 million (Q1 2026), $4.76 million (Q4 2025) and $19.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 99.92 Bn | 81.02 Bn | - | 199.00 Mn |
| 2 | Bank of New York Mellon | 97.64 Bn | 37.02 Bn | - | - |
| 3 | Cme | 95.24 Bn | 95.24 Bn | - | - |
| 4 | Intercontinental Exchange | 84.98 Bn | 78.79 Bn | - | 63.00 Mn |
| 5 | Nasdaq | 51.52 Bn | 48.95 Bn | 1.50 Bn | 23.00 Mn |
| 6 | State Street | 47.96 Bn | 47.96 Bn | - | - |
| 7 | Interactive Brokers | 38.66 Bn | 32.12 Bn | - | 68.00 Mn |
| 8 | Northern Trust | 30.96 Bn | 30.96 Bn | - | - |
| 9 | Cboe Global Markets | 29.00 Bn | 20.65 Bn | 731.60 Mn | - |
| 10 | Empery Digital | 86.02 Mn | 86.02 Mn | -68,184.00 | 3.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.71 Mn |
| Mar 31, 2026 | 4.57 Mn |
| Dec 31, 2025 | 4.76 Mn |
| Sep 30, 2025 | 19.40 Mn |
| Jun 30, 2025 | 2.84 Mn |
| Mar 31, 2025 | 1.55 Mn |
| Dec 31, 2024 | 1.56 Mn |
| Sep 30, 2024 | 1.92 Mn |
| Jun 30, 2024 | 2.01 Mn |
| Mar 31, 2024 | 2.08 Mn |
| Dec 31, 2023 | 1.38 Mn |
| Sep 30, 2023 | 1.54 Mn |
| Jun 30, 2023 | 1.57 Mn |
| Mar 31, 2023 | 1.89 Mn |
| Dec 31, 2022 | 1.64 Mn |
| Sep 30, 2022 | 2.09 Mn |
| Jun 30, 2022 | 2.53 Mn |
| Mar 31, 2022 | 2.79 Mn |
| Dec 31, 2021 | 1.15 Mn |
| Sep 30, 2021 | 586,494.00 |
Empery Digital Selling, General & Administrative 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=selling-general-and-administrative&ticker=EMPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=EMPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();