MicroAlgo (MLGO) EPS (Diluted) (2021 - 2023)
MicroAlgo's EPS (Diluted) came in at $2.12 for FY2025, up 280.8% from $0.56 in FY2024.
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Analysis
MicroAlgo (MLGO) EPS (Diluted) (2021 - 2023) Analysis & Trends
Going back to FY2021, MicroAlgo's EPS (Diluted) data covers 5 years.
- EPS (Diluted) carries a four-year compound annual growth rate of -53.0% (FY2021 to FY2025).
- The FY2025 figure represents the highest annual EPS (Diluted) since FY2021.
- Per Business Quant, earlier years put EPS (Diluted) at $0.56 in FY2024, -$201.64 in FY2023, -$35.00 in FY2022 and $43.28 in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,109.17 Bn | 4,883.33 Bn | 72.14 Bn | 2.46 |
| 2 | Taiwan Semiconductor Manufacturing | 2,161.49 Bn | 1,786.35 Bn | 27.22 Bn | 4.31 |
| 3 | Broadcom | 1,533.75 Bn | 1,459.79 Bn | 20.46 Bn | 2.68 |
| 4 | Micron Technology | 989.15 Bn | 894.78 Bn | 47.05 Bn | 32.98 |
| 5 | Advanced Micro Devices | 840.45 Bn | 797.19 Bn | 6.20 Bn | 1.38 |
| 6 | Asml Holding | 609.94 Bn | 565.63 Bn | 5.90 Bn | 8.50 |
| 7 | Intel | 442.11 Bn | 311.24 Bn | 6.51 Bn | -2.16 |
| 8 | Applied Materials | 298.82 Bn | 264.26 Bn | 4.59 Bn | 3.17 |
| 9 | Lam Research | 287.79 Bn | 263.84 Bn | 4.30 Bn | 2.19 |
| 10 | MicroAlgo | 19.57 Mn | -1.11 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -20.54 |
| Mar 31, 2023 | -6.32 |
| Dec 31, 2022 | -36.12 |
| Sep 30, 2022 | 2.19 |
| Jun 30, 2022 | -0.12 |
| Mar 31, 2022 | 4.41 |
| Dec 31, 2021 | 46.50 |
API Access
MicroAlgo EPS (Diluted) 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=eps-diluted&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();