MicroAlgo (MLGO) Other Operating Expenses (2020 - 2023)
MicroAlgo's Other Operating Expenses came in at -$312,460 for FY2025, compared with -$305,871 in FY2024.
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Analysis
MicroAlgo (MLGO) Other Operating Expenses (2020 - 2023) Analysis & Trends
Going back to FY2020, MicroAlgo's Other Operating Expenses data covers 6 years.
- The five-year range for annual Other Operating Expenses is -$32.9 million (FY2023) to $7.75 million (FY2022).
- Per Business Quant, earlier years put Other Operating Expenses at -$305,871 in FY2024, -$32.9 million in FY2023, $7.75 million in FY2022 (+142.3%) and $3.2 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,503.96 Bn | 5,278.12 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,366.45 Bn | 1,992.15 Bn | 27.22 Bn |
| 3 | Broadcom | 1,676.58 Bn | 1,602.63 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,202.51 Bn | 1,141.27 Bn | 35.06 Bn |
| 5 | Advanced Micro Devices | 998.39 Bn | 955.14 Bn | 6.20 Bn |
| 6 | Asml Holding | 698.25 Bn | 654.08 Bn | 5.90 Bn |
| 7 | Intel | 606.32 Bn | 491.05 Bn | 6.51 Bn |
| 8 | Lam Research | 411.06 Bn | 387.85 Bn | 3.48 Bn |
| 9 | Applied Materials | 405.83 Bn | 371.27 Bn | 4.59 Bn |
| 10 | MicroAlgo | 75.98 Mn | -1.04 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -303,597.00 |
| Mar 31, 2023 | 124,863.00 |
| Dec 31, 2022 | 26.45 Mn |
| Sep 30, 2022 | 100,064.00 |
| Jun 30, 2022 | 90,520.00 |
| Mar 31, 2022 | 207,223.00 |
| 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 |
API Access
MicroAlgo Other 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=other-operating-expenses&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();