Empery Digital (EMPD) Total Current Liabilities (2020 - 2026)
Empery Digital's Total Current Liabilities came in at $10.74 million for Q2 2026, up 195.8% from $3.63 million a year earlier and up 70.2% from the prior quarter.
Empery Digital (EMPD) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Empery Digital's Total Current Liabilities was $52.78 million.
- Total Current Liabilities carries a five-year compound annual growth rate of 86.8% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $4.64 million in FY2024 (-88.7%), $40.91 million in FY2023 (+95.8%), $20.9 million in FY2022 (+222.3%) and $6.48 million in FY2021 (+179.2%).
- The five-year range for quarterly Total Current Liabilities is $3.63 million (Q2 2025) to $54.11 million (Q3 2025).
- Year-over-year, Total Current Liabilities increased in two of the last six quarters, with an average decline of 6.4%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2023 (growth of 943.2%), and the weakest in Q4 2024 (a decline of 88.7%).
- Business Quant data shows EMPD's Total Current Liabilities at $6.31 million (Q1 2026), $52.78 million (Q4 2025) and $54.11 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 104.70 Bn | 85.79 Bn | - | 44.58 Bn |
| 2 | Bank of New York Mellon | 100.72 Bn | 40.09 Bn | - | - |
| 3 | Cme | 94.58 Bn | 94.58 Bn | - | 158.72 Bn |
| 4 | Intercontinental Exchange | 85.83 Bn | 79.63 Bn | - | 120.58 Bn |
| 5 | Nasdaq | 52.05 Bn | 49.49 Bn | 1.50 Bn | 4.51 Bn |
| 6 | State Street | 49.39 Bn | 49.39 Bn | - | - |
| 7 | Interactive Brokers | 39.24 Bn | 32.69 Bn | - | - |
| 8 | Northern Trust | 31.94 Bn | 31.94 Bn | - | - |
| 9 | Cboe Global Markets | 26.47 Bn | 18.13 Bn | 731.60 Mn | 3.79 Bn |
| 10 | Empery Digital | 83.77 Mn | 83.77 Mn | -68,184.00 | 10.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.74 Mn |
| Mar 31, 2026 | 6.31 Mn |
| Dec 31, 2025 | 52.78 Mn |
| Sep 30, 2025 | 54.11 Mn |
| Jun 30, 2025 | 3.63 Mn |
| Mar 31, 2025 | 4.02 Mn |
| Dec 31, 2024 | 4.64 Mn |
| Sep 30, 2024 | 4.19 Mn |
| Jun 30, 2024 | 6.62 Mn |
| Mar 31, 2024 | 12.89 Mn |
| Dec 31, 2023 | 40.91 Mn |
| Sep 30, 2023 | 36.17 Mn |
| Jun 30, 2023 | 44.00 Mn |
| Mar 31, 2023 | 21.70 Mn |
| Dec 31, 2022 | 20.90 Mn |
| Sep 30, 2022 | 19.26 Mn |
| Jun 30, 2022 | 4.22 Mn |
| Mar 31, 2022 | 5.91 Mn |
| Dec 31, 2021 | 6.48 Mn |
| Sep 30, 2021 | 5.30 Mn |
Empery Digital Total Current 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-current-liabilities&ticker=EMPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=EMPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();