Empery Digital (EMPD) Non Operating Interest Expenses (2021 - 2026)
Empery Digital (EMPD) posted Non Operating Interest Expenses of $1.06 million for Q2 2026, compared with $74,464 a year earlier and down 48.4% from the prior quarter.
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Analysis
Empery Digital (EMPD) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Non Operating Interest Expenses at Empery Digital was $5.21 million; for FY2025, it was $2.25 million, up 250.1% from FY2024.
- Annual Non Operating Interest Expenses shows a five-year compound annual growth rate of 212.0% (FY2020 to FY2025).
- In prior years, Empery Digital's Non Operating Interest Expenses was $643,716 in FY2024 (-87.0%), $4.97 million in FY2023 (+119.9%), $2.26 million in FY2022 and $91,238 in FY2021.
- Quarterly Non Operating Interest Expenses has run from a low of $4,691 in Q1 2022 to a high of $2.06 million in Q1 2026 over five years.
- On a year-over-year basis, Non Operating Interest Expenses increased in 1 of the last five quarters, with growth averaging 2.7%.
- The strongest year-over-year quarter for Non Operating Interest Expenses in the past five years was Q3 2025, with growth of 333.8%; the weakest was Q3 2024, with a decline of 92.7%.
- According to Business Quant data, Non Operating Interest Expenses for the three prior quarters was $2.06 million (Q1 2026), $1.73 million (Q4 2025) and $361,464 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Robinhood Markets | 101.14 Bn | 82.23 Bn | - | - |
| 2 | Bank of New York Mellon | 98.14 Bn | 37.51 Bn | - | - |
| 3 | Cme | 94.12 Bn | 94.12 Bn | - | 43.60 Mn |
| 4 | Intercontinental Exchange | 85.35 Bn | 79.16 Bn | - | 205.00 Mn |
| 5 | Nasdaq | 51.71 Bn | 49.14 Bn | 1.50 Bn | 86.00 Mn |
| 6 | State Street | 47.94 Bn | 47.94 Bn | - | - |
| 7 | Interactive Brokers | 38.49 Bn | 31.95 Bn | - | - |
| 8 | Northern Trust | 30.99 Bn | 30.99 Bn | - | - |
| 9 | Cboe Global Markets | 28.76 Bn | 20.41 Bn | 731.60 Mn | 13.20 Mn |
| 10 | Empery Digital | 84.61 Mn | 84.61 Mn | -68,184.00 | 1.06 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.06 Mn |
| Mar 31, 2026 | 2.06 Mn |
| Dec 31, 2025 | 1.73 Mn |
| Sep 30, 2025 | 361,464.00 |
| Jun 30, 2025 | 74,464.00 |
| Mar 31, 2025 | 89,183.00 |
| Dec 31, 2024 | 33,417.00 |
| Sep 30, 2024 | 83,334.00 |
| Jun 30, 2024 | 196,997.00 |
| Mar 31, 2024 | 329,968.00 |
| Dec 31, 2023 | 451,266.00 |
| Sep 30, 2023 | 1.14 Mn |
| Jun 30, 2023 | 1.60 Mn |
| Mar 31, 2023 | 1.78 Mn |
| Dec 31, 2022 | 1.63 Mn |
| Sep 30, 2022 | 618,307.00 |
| Jun 30, 2022 | 4,791.00 |
| Mar 31, 2022 | 4,691.00 |
| Dec 31, 2021 | 23,717.00 |
| Sep 30, 2021 | 42,183.00 |
API Access
Empery Digital Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=EMPD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=EMPD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();