MicroAlgo (MLGO) Selling, General & Administrative (2022 - 2023)
MicroAlgo (MLGO) posted Selling, General & Administrative of -$2.98 million for FY2025, compared with -$2.75 million in FY2024.
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Analysis
MicroAlgo (MLGO) Selling, General & Administrative (2022 - 2023) Analysis & Trends
Since FY2021, MicroAlgo has reported Selling, General & Administrative for 5 years.
- Annual Selling, General & Administrative has run from a low of -$3.52 million in FY2023 to a high of $5.28 million in FY2021 over five years.
- Business Quant data shows MLGO's Selling, General & Administrative at -$2.75 million in FY2024, -$3.52 million in FY2023, $5.13 million in FY2022 (-2.8%) and $5.28 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,563.73 Bn | 5,337.89 Bn | 72.14 Bn | 1.35 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,381.64 Bn | 2,007.35 Bn | 27.22 Bn | 676.02 Mn |
| 3 | Broadcom | 1,640.54 Bn | 1,566.58 Bn | 20.46 Bn | 996.00 Mn |
| 4 | Micron Technology | 1,238.95 Bn | 1,177.72 Bn | 35.06 Bn | 407.00 Mn |
| 5 | Advanced Micro Devices | 1,004.87 Bn | 961.62 Bn | 6.20 Bn | 1.40 Bn |
| 6 | Asml Holding | 697.02 Bn | 652.86 Bn | 5.90 Bn | - |
| 7 | Intel | 605.16 Bn | 489.89 Bn | 6.51 Bn | 1.18 Bn |
| 8 | Lam Research | 425.56 Bn | 402.36 Bn | 3.48 Bn | 322.33 Mn |
| 9 | Applied Materials | 420.05 Bn | 385.49 Bn | 4.59 Bn | 162.00 Mn |
| 10 | MicroAlgo | 75.98 Mn | -1.04 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -2.12 Mn |
| Mar 31, 2023 | 1.02 Mn |
| Mar 31, 2022 | 809,248.00 |
API Access
MicroAlgo Selling, General & Administrative 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=selling-general-and-administrative&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();