MicroAlgo (MLGO) Cost of Revenue (2022 - 2023)
MicroAlgo (MLGO) posted Cost of Revenue of $44.56 million for FY2025, down 17.4% from $53.94 million in FY2024.
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Analysis
MicroAlgo (MLGO) Cost of Revenue (2022 - 2023) Analysis & Trends
Since FY2021, MicroAlgo has reported Cost of Revenue for 5 years.
- Annual Cost of Revenue has declined for three consecutive years, with a four-year compound annual growth rate of -2.3% (FY2021 to FY2025).
- The FY2025 figure stands as the lowest annual Cost of Revenue in data going back to FY2021.
- Business Quant data shows MLGO's Cost of Revenue at $53.94 million in FY2024 (-5.9%), $57.33 million in FY2023 (-15.9%), $68.18 million in FY2022 (+39.4%) and $48.92 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 24.08 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 12.97 Bn |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 9.14 Bn |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 6.40 Bn |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 5.33 Bn |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | 5.41 Bn |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | 9.62 Bn |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 3.24 Bn |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 4.53 Bn |
| 10 | MicroAlgo | 74.11 Mn | -1.04 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 13.56 Mn |
| Mar 31, 2023 | 12.88 Mn |
| Jun 30, 2022 | 23.23 Mn |
| Mar 31, 2022 | 17.96 Mn |
API Access
MicroAlgo Cost of Revenue 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=cost-of-revenue&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();