MicroAlgo (MLGO) EBT Margin (2021 - 2023)
MicroAlgo's EBT Margin came in at 31.96% for FY2025, up 21.15 percentage points from 10.81% in FY2024.
Analysis
MicroAlgo (MLGO) EBT Margin (2021 - 2023) Analysis & Trends
Going back to FY2021, MicroAlgo's EBT Margin data covers 5 years.
- EBT Margin carries a four-year change of +21.52 percentage points (FY2021 to FY2025).
- The FY2025 figure represents the highest annual EBT Margin in data going back to FY2021.
- Per Business Quant, earlier years put EBT Margin at 10.81% in FY2024 (+57.14 pp), -46.33% in FY2023 (-37.74 pp), -8.59% in FY2022 (-19.04 pp) and 10.45% in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn | 154.70% |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn | 67.89% |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 74.32% |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | 51.62% |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 13.96% |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 81.58% |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | - |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 24.11% |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 31.89% |
| 10 | MicroAlgo | 27.11 Mn | -1.10 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -23.71% |
| Dec 31, 2022 | -10.71% |
| Sep 30, 2022 | 351.21% |
| Jun 30, 2022 | -0.08% |
| Mar 31, 2022 | 251.49% |
| Dec 31, 2021 | 3,171.35% |
| Sep 30, 2021 | -46,726.47% |
| Jun 30, 2021 | -30,898.02% |
| Mar 31, 2021 | -23,121.20% |
API Access
MicroAlgo EBT 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=ebt-margin&ticker=MLGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-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=ebt-margin&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();