Empery Digital (EMPD) Long-Term Debt Repayments (2021 - 2026)
Empery Digital (EMPD) recorded Long-Term Debt Repayments of $26,606 in Q2 2026, compared with $1,770 a year earlier.
Empery Digital (EMPD) Long-Term Debt Repayments (2021 - 2026) Analysis & Trends
On a TTM basis, Empery Digital's Long-Term Debt Repayments came in at $32,225 as of Jun 30, 2026, up 374.7% year-over-year; for FY2025, it was $7,182, down 85.3% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -45.0% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $48,702 in FY2024 (-39.4%), $80,394 in FY2023 (+367.4%), $17,201 in FY2022 (-99.1%) and $2 million in FY2021.
- The Q2 2026 figure is the highest quarterly Long-Term Debt Repayments since Q1 2024.
- On a year-over-year basis, Long-Term Debt Repayments rose in three of the last six quarters, with an average decline of 28.7%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 165.4% in Q1 2022, against a decline of 99.8% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1,926 (Q1 2026), $1,874 (Q4 2025) and $1,819 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | 10.00 Mn |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | 3.50 Bn |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | - |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | - |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 431.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | 913.00 Mn |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | 800.00 Mn |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | - |
| 10 | Empery Digital | 84.61 Mn | 84.61 Mn | -68,184.00 | 26,606.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 26,606.00 |
| Mar 31, 2026 | 1,926.00 |
| Dec 31, 2025 | 1,874.00 |
| Sep 30, 2025 | 1,819.00 |
| Jun 30, 2025 | 1,770.00 |
| Mar 31, 2025 | 1,719.00 |
| Dec 31, 2024 | 1,671.00 |
| Sep 30, 2024 | 1,629.00 |
| Jun 30, 2024 | 1,579.00 |
| Mar 31, 2024 | 43,823.00 |
| Dec 31, 2023 | 3,593.00 |
| Sep 30, 2023 | 3,942.00 |
| Jun 30, 2023 | 3,421.00 |
| Mar 31, 2023 | 69,438.00 |
| Dec 31, 2022 | 4,433.00 |
| Sep 30, 2022 | 4,344.00 |
| Jun 30, 2022 | 3,660.00 |
| Mar 31, 2022 | 4,764.00 |
| Dec 31, 2021 | 1.99 Mn |
| Sep 30, 2021 | 3,031.00 |
Empery Digital Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=EMPD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=EMPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();