Empery Digital (EMPD) Return on Sales [ROS] (2021 - 2026)
Empery Digital (EMPD) posted Return on Sales [ROS] of -52572.97% for Q2 2026, down 50743.20 percentage points from -1829.77% a year earlier and down 15660.89 percentage points from the prior quarter.
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Analysis
Empery Digital (EMPD) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
For FY2025, Empery Digital's Return on Sales [ROS] came in at -15741.95%, down 15097.85 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a four-year change of -7012.41 percentage points (FY2021 to FY2025).
- In prior years, Empery Digital's Return on Sales [ROS] was -644.11% in FY2024 (+269.50 pp), -913.61% in FY2023 (-208.40 pp), -705.21% in FY2022 (+8024.33 pp) and -8729.54% in FY2021.
- Quarterly Return on Sales [ROS] has run from a low of -81011.53% in Q4 2025 to a high of -401.80% in Q4 2024 over five years.
- On a year-over-year basis, Return on Sales [ROS] has declined in each of the last six quarters, with an average year-over-year change of -23004.45 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2022, with a gain of 4771.99 percentage points; the weakest was Q4 2025, with a drop of 80609.73 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -36912.09% (Q1 2026), -81011.53% (Q4 2025) and -17388.61% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.35 Bn | 82.45 Bn | - | 66.36% |
| 2 | Bank of New York Mellon | 98.65 Bn | 38.02 Bn | - | 119.30% |
| 3 | Cme | 94.54 Bn | 94.54 Bn | - | 64.89% |
| 4 | Intercontinental Exchange | 84.23 Bn | 78.04 Bn | - | 38.52% |
| 5 | Nasdaq | 50.77 Bn | 48.20 Bn | 1.50 Bn | 28.12% |
| 6 | State Street | 48.31 Bn | 48.31 Bn | - | 83.30% |
| 7 | Interactive Brokers | 39.79 Bn | 33.24 Bn | - | 138.98% |
| 8 | Northern Trust | 31.37 Bn | 31.37 Bn | - | 191.07% |
| 9 | Cboe Global Markets | 28.34 Bn | 20.00 Bn | 731.60 Mn | 32.99% |
| 10 | Empery Digital | 87.98 Mn | 87.98 Mn | -68,184.00 | -52,572.97% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -52,572.97% |
| Mar 31, 2026 | -36,912.09% |
| Dec 31, 2025 | -81,011.53% |
| Sep 30, 2025 | -17,388.61% |
| Jun 30, 2025 | -1,829.77% |
| Mar 31, 2025 | -459.07% |
| Dec 31, 2024 | -401.80% |
| Sep 30, 2024 | -1,127.89% |
| Jun 30, 2024 | -587.68% |
| Mar 31, 2024 | -410.66% |
| Dec 31, 2023 | -911.88% |
| Sep 30, 2023 | -1,939.38% |
| Jun 30, 2023 | -949.62% |
| Mar 31, 2023 | -472.07% |
| Dec 31, 2022 | -822.31% |
| Sep 30, 2022 | -3,013.76% |
| Jun 30, 2022 | -418.93% |
| Mar 31, 2022 | -730.16% |
| Dec 31, 2021 | -3,721.95% |
| Sep 30, 2021 | -7,785.75% |
API Access
Empery Digital Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=EMPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=EMPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();