MicroAlgo (MLGO) Net Margin (2022 - 2023)
MicroAlgo's Net Margin came in at 26.99% for FY2025, up 19.86 percentage points from 7.13% in FY2024.
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Analysis
MicroAlgo (MLGO) Net Margin (2022 - 2023) Analysis & Trends
Going back to FY2021, MicroAlgo's Net Margin data covers 5 years.
- Net Margin carries a four-year change of +16.54 percentage points (FY2021 to FY2025).
- The FY2025 figure represents the highest annual Net Margin in data going back to FY2021.
- Per Business Quant, earlier years put Net Margin at 7.13% in FY2024 (+63.29 pp), -56.16% in FY2023 (-48.16 pp), -8.01% in FY2022 (-18.45 pp) and 10.45% in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 62.03% |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 57.02% |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 44.23% |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 68.13% |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 19.91% |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 29.22% |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | -68.41% |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 33.88% |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 27.84% |
| 10 | MicroAlgo | 72.94 Mn | -1.04 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -20.23% |
| Mar 31, 2023 | -7.06% |
| Jun 30, 2022 | -0.08% |
| Mar 31, 2022 | 3.74% |
API Access
MicroAlgo Net Margin 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=net-margin&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();