MicroAlgo (MLGO) Operating Expenses (2020 - 2023)
MicroAlgo (MLGO) recorded Operating Expenses of -$12.3 million in FY2025, compared with -$18.59 million in FY2024.
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Analysis
MicroAlgo (MLGO) Operating Expenses (2020 - 2023) Analysis & Trends
Starting with FY2020, MicroAlgo's Operating Expenses history includes 6 years.
- The FY2025 figure is the highest annual Operating Expenses since FY2022.
- Per Business Quant data, MLGO's Operating Expenses was -$18.59 million in FY2024, -$59.18 million in FY2023, $26.81 million in FY2022 (+7.0%) and $25.07 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 25,315.76 Bn | 25,299.34 Bn | 43.99 Bn | 3.63 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 | 8.41 Bn |
| 4 | Broadcom | 1,586.53 Bn | 1,512.57 Bn | 20.46 Bn | 4.50 Bn |
| 5 | Advanced Micro Devices | 875.82 Bn | 824.04 Bn | 7.21 Bn | 4.38 Bn |
| 6 | Micron Technology | 828.06 Bn | 733.70 Bn | 47.05 Bn | 2.77 Bn |
| 7 | Asml Holding | 596.24 Bn | 551.71 Bn | - | - |
| 8 | Intel | 312.07 Bn | 158.13 Bn | 7.10 Bn | 4.57 Bn |
| 9 | Applied Materials | 301.25 Bn | 266.69 Bn | 4.59 Bn | 1.51 Bn |
| 10 | MicroAlgo | 17.62 Mn | -1.11 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 8.23 Mn |
| Mar 31, 2023 | 6.37 Mn |
| Dec 31, 2022 | 26.45 Mn |
| Sep 30, 2022 | 100,064.00 |
| Jun 30, 2022 | 90,520.00 |
| Mar 31, 2022 | 4.22 Mn |
| Dec 31, 2021 | 24.44 Mn |
| Sep 30, 2021 | 334,341.00 |
| Jun 30, 2021 | 218,846.00 |
| Mar 31, 2021 | 78,705.00 |
| 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 Operating Expenses 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=operating-expenses&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();