MicroAlgo (MLGO) EBT (2020 - 2023)
MicroAlgo (MLGO) posted EBT of $19.19 million for FY2025, up 135.7% from $8.14 million in FY2024.
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Analysis
MicroAlgo (MLGO) EBT (2020 - 2023) Analysis & Trends
Since FY2020, MicroAlgo has reported EBT for 6 years.
- The FY2025 figure stands as the highest annual EBT in data going back to FY2020.
- Business Quant data shows MLGO's EBT at $8.14 million in FY2024, -$37.94 million in FY2023, -$7.48 million in FY2022 and $8.57 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 25,315.76 Bn | 25,299.34 Bn | 43.99 Bn | 81.80 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,307.80 Bn | 10,042.23 Bn | - | - |
| 3 | Nvidia | 4,179.08 Bn | 3,953.24 Bn | 72.14 Bn | 71.51 Bn |
| 4 | Broadcom | 1,586.53 Bn | 1,512.57 Bn | 20.46 Bn | 15.28 Bn |
| 5 | Advanced Micro Devices | 875.82 Bn | 824.04 Bn | 7.21 Bn | 1.87 Bn |
| 6 | Micron Technology | 828.06 Bn | 733.70 Bn | 47.05 Bn | 44.24 Bn |
| 7 | Asml Holding | 596.24 Bn | 551.71 Bn | - | - |
| 8 | Intel | 312.07 Bn | 158.13 Bn | 7.10 Bn | 3.98 Bn |
| 9 | Applied Materials | 301.25 Bn | 266.69 Bn | 4.59 Bn | 2.91 Bn |
| 10 | MicroAlgo | 17.62 Mn | -1.11 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -4.80 Mn |
| Mar 31, 2023 | -1.26 Mn |
| Dec 31, 2022 | -7.72 Mn |
| Sep 30, 2022 | 433,314.00 |
| Jun 30, 2022 | -23,603.00 |
| Mar 31, 2022 | 899,833.00 |
| Dec 31, 2021 | 9.21 Mn |
| Sep 30, 2021 | -333,627.00 |
| Jun 30, 2021 | -218,140.00 |
| Mar 31, 2021 | -88,323.00 |
| Dec 31, 2020 | -70,143.00 |
| Sep 30, 2020 | -34,189.00 |
| Jun 30, 2020 | -6,100.00 |
| Mar 31, 2020 | -7,355.00 |
API Access
MicroAlgo EBT 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=ebt&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "ticker": "MLGO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=ebt&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();