Ebang International Holdings (EBON) Accumulated Expenses (2019 - 2025)
Ebang International Holdings' Accumulated Expenses came in at $11.08 million for Q2 2026, unchanged from $11.08 million a year earlier.
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Analysis
Ebang International Holdings (EBON) Accumulated Expenses (2019 - 2025) Analysis & Trends
Going back to Q4 2019, Ebang International Holdings' Accumulated Expenses data covers 14 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of -12.8% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $11.08 million in FY2024 (unchanged), $11.08 million in FY2023 (unchanged), $11.08 million in FY2022 (unchanged) and $11.08 million in FY2021 (-49.5%).
- Across the past five years, year-over-year decline in Accumulated Expenses ran from 0.0% in Q2 2026 to 49.5% in Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 4,921.46 Bn | 4,695.62 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,095.29 Bn | 1,720.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,543.66 Bn | 1,469.70 Bn | 20.46 Bn |
| 4 | Micron Technology | 988.36 Bn | 893.99 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 817.26 Bn | 774.00 Bn | 6.20 Bn |
| 6 | Asml Holding | 606.18 Bn | 561.86 Bn | 5.90 Bn |
| 7 | Intel | 330.29 Bn | 330.29 Bn | 7.10 Bn |
| 8 | Applied Materials | 307.60 Bn | 273.04 Bn | 4.59 Bn |
| 9 | Lam Research | 297.52 Bn | 273.57 Bn | 4.30 Bn |
| 10 | Ebang International Holdings | 11.87 Mn | -825.12 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 126,920.00 |
| Dec 31, 2021 | 8.96 Mn |
| Dec 31, 2020 | 21.92 Mn |
| Dec 31, 2019 | 13.74 Mn |
API Access
Ebang International Holdings Accumulated 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=accumulated-expenses&ticker=EBON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "EBON", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=EBON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();