Ebang International Holdings (EBON) Retained Earnings (2019 - 2026)
Ebang International Holdings' Retained Earnings was -$152.09 million in Q2 2026, compared with -$139.61 million a year earlier.
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Analysis
Ebang International Holdings (EBON) Retained Earnings (2019 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at Ebang International Holdings came in at -$149.19 million.
- In earlier years, Retained Earnings was -$135.09 million in FY2024, -$114.84 million in FY2023, -$78.07 million in FY2022 and -$34.18 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Retained Earnings in data going back to Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,226.98 Bn | 5,001.14 Bn | 72.14 Bn | 219.16 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,200.79 Bn | 1,825.66 Bn | 27.22 Bn | 294.22 Bn |
| 3 | Broadcom | 1,570.49 Bn | 1,496.54 Bn | 20.46 Bn | 22.15 Bn |
| 4 | Micron Technology | 1,017.05 Bn | 922.69 Bn | 47.05 Bn | 131.85 Bn |
| 5 | Advanced Micro Devices | 867.62 Bn | 824.37 Bn | 6.20 Bn | 5.91 Bn |
| 6 | Asml Holding | 616.92 Bn | 572.61 Bn | 5.90 Bn | 20.66 Bn |
| 7 | Intel | 461.96 Bn | 331.10 Bn | 6.51 Bn | 33.84 Bn |
| 8 | Applied Materials | 307.82 Bn | 273.26 Bn | 4.59 Bn | 61.39 Bn |
| 9 | Lam Research | 296.82 Bn | 272.87 Bn | 4.30 Bn | 37.29 Bn |
| 10 | Ebang International Holdings | 12.37 Mn | -824.62 Mn | - | -152.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -152.09 Mn |
| Dec 31, 2025 | -149.19 Mn |
| Jun 30, 2025 | -139.61 Mn |
| Dec 31, 2024 | -135.09 Mn |
| Jun 30, 2024 | -121.07 Mn |
| Dec 31, 2023 | -114.84 Mn |
| Jun 30, 2023 | -85.89 Mn |
| Dec 31, 2022 | -78.07 Mn |
| Jun 30, 2022 | -44.26 Mn |
| Dec 31, 2021 | -34.18 Mn |
| Jun 30, 2021 | -42.22 Mn |
| Dec 31, 2020 | -38.58 Mn |
| Jun 30, 2020 | -14.55 Mn |
| Dec 31, 2019 | -7.91 Mn |
API Access
Ebang International Holdings Retained Earnings 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=retained-earnings&ticker=EBON&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=EBON&period=max&api_key=YOUR_API_KEY");
const data = await res.json();