Empery Digital (EMPD) Total Liabilities (2020 - 2026)
Empery Digital (EMPD) recorded Total Liabilities of $66.14 million in Q2 2026, compared with $4.12 million a year earlier and up 27.8% from the prior quarter.
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Analysis
Empery Digital (EMPD) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Empery Digital reported Total Liabilities of $103.22 million.
- Annual Total Liabilities has a five-year compound annual growth rate of 103.0% (FY2020 to FY2025).
- Across earlier years, Total Liabilities came in at $6.19 million in FY2024 (-85.2%), $41.76 million in FY2023 (+89.0%), $22.09 million in FY2022 (+165.5%) and $8.32 million in FY2021 (+177.7%).
- Quarterly Total Liabilities has ranged from $4.12 million in Q2 2025 to $103.22 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Liabilities rose in 1 of the last five quarters, with growth averaging 130.8%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 936.9% in Q1 2026, against a decline of 86.7% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $51.74 million (Q1 2026), $103.22 million (Q4 2025) and $54.62 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Cme | 106.62 Bn | 94.72 Bn | - | 168.16 Bn |
| 2 | Robinhood Markets | 88.96 Bn | 69.99 Bn | - | 47.01 Bn |
| 3 | Intercontinental Exchange | 88.53 Bn | 82.26 Bn | - | 144.63 Bn |
| 4 | Nasdaq | 53.04 Bn | 50.47 Bn | 1.50 Bn | 15.35 Bn |
| 5 | Interactive Brokers | 37.00 Bn | 14.11 Bn | - | 225.06 Bn |
| 6 | Cboe Global Markets | 32.78 Bn | 24.44 Bn | 731.60 Mn | 4.98 Bn |
| 7 | LPL Financial Holdings | 25.73 Bn | 21.05 Bn | - | 14.03 Bn |
| 8 | Tradeweb Markets | 25.30 Bn | 17.31 Bn | - | 912.69 Mn |
| 9 | Circle Internet | 21.18 Bn | 15.06 Bn | 288.85 Mn | 73.66 Bn |
| 10 | Empery Digital | 78.85 Mn | 35.21 Mn | -68,184.00 | 66.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.14 Mn |
| Mar 31, 2026 | 51.74 Mn |
| Dec 31, 2025 | 103.22 Mn |
| Sep 30, 2025 | 54.62 Mn |
| Jun 30, 2025 | 4.12 Mn |
| Mar 31, 2025 | 4.99 Mn |
| Dec 31, 2024 | 6.19 Mn |
| Sep 30, 2024 | 4.95 Mn |
| Jun 30, 2024 | 7.89 Mn |
| Mar 31, 2024 | 13.59 Mn |
| Dec 31, 2023 | 41.76 Mn |
| Sep 30, 2023 | 37.09 Mn |
| Jun 30, 2023 | 45.03 Mn |
| Mar 31, 2023 | 22.82 Mn |
| Dec 31, 2022 | 22.09 Mn |
| Sep 30, 2022 | 20.55 Mn |
| Jun 30, 2022 | 4.79 Mn |
| Mar 31, 2022 | 7.68 Mn |
| Dec 31, 2021 | 8.32 Mn |
| Sep 30, 2021 | 7.34 Mn |
API Access
Empery Digital Total Liabilities 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=total-liabilities&ticker=EMPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=EMPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();