MicroAlgo (MLGO) EBIT (2020 - 2023)
MicroAlgo's EBIT came in at $3.18 million for FY2025, up 13.7% from $2.8 million in FY2024.
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Analysis
MicroAlgo (MLGO) EBIT (2020 - 2023) Analysis & Trends
Going back to FY2020, MicroAlgo's EBIT data covers 6 years.
- The FY2025 figure represents the highest annual EBIT since FY2021.
- Per Business Quant, earlier years put EBIT at $2.8 million in FY2024, -$34.62 million in FY2023, -$7.86 million in FY2022 and $8.05 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBIT (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,364.86 Bn | 5,139.02 Bn | 72.14 Bn | 63.73 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,236.47 Bn | 1,861.33 Bn | 27.22 Bn | 24.25 Bn |
| 3 | Broadcom | 1,612.62 Bn | 1,538.67 Bn | 20.46 Bn | 15.96 Bn |
| 4 | Micron Technology | 1,036.34 Bn | 941.98 Bn | 47.05 Bn | 43.75 Bn |
| 5 | Advanced Micro Devices | 906.57 Bn | 863.31 Bn | 6.20 Bn | 1.99 Bn |
| 6 | Asml Holding | 652.55 Bn | 608.24 Bn | 5.90 Bn | - |
| 7 | Intel | 473.06 Bn | 342.20 Bn | 6.51 Bn | 1.80 Bn |
| 8 | Lam Research | 328.76 Bn | 305.55 Bn | 3.48 Bn | 2.51 Bn |
| 9 | Applied Materials | 324.88 Bn | 290.32 Bn | 4.59 Bn | 3.08 Bn |
| 10 | MicroAlgo | 20.30 Mn | -1.11 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -1.56 Mn |
| Mar 31, 2023 | -1.41 Mn |
| Dec 31, 2022 | -7.72 Mn |
| Sep 30, 2022 | 433,314.00 |
| Jun 30, 2022 | 4.85 Mn |
| Mar 31, 2022 | 1.18 Mn |
| 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 EBIT 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=ebit&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebit", "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=ebit&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();