MicroAlgo (MLGO) Return on Capital Employed [ROCE] (2021 - 2023)
MicroAlgo (MLGO) posted Return on Capital Employed [ROCE] of 1.28% for FY2025, down 1.89 percentage points from 3.17% in FY2024.
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Analysis
MicroAlgo (MLGO) Return on Capital Employed [ROCE] (2021 - 2023) Analysis & Trends
Since FY2021, MicroAlgo has reported Return on Capital Employed [ROCE] for 5 years.
- Annual Return on Capital Employed [ROCE] shows a four-year change of -41.22 percentage points (FY2021 to FY2025).
- Annual Return on Capital Employed [ROCE] has run from a low of -65.34% in FY2023 to a high of 42.50% in FY2021 over five years.
- Business Quant data shows MLGO's Return on Capital Employed [ROCE] at 3.17% in FY2024 (+68.51 pp), -65.34% in FY2023 (-54.43 pp), -10.91% in FY2022 (-53.41 pp) and 42.50% in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,638.19 Bn | 5,412.36 Bn | 72.14 Bn | 80.04% |
| 2 | Taiwan Semiconductor Manufacturing | 2,452.80 Bn | 2,078.51 Bn | 27.22 Bn | 8.47% |
| 3 | Broadcom | 1,695.44 Bn | 1,621.48 Bn | 20.46 Bn | 26.30% |
| 4 | Micron Technology | 1,213.55 Bn | 1,152.31 Bn | 35.06 Bn | 60.25% |
| 5 | Advanced Micro Devices | 1,034.54 Bn | 991.29 Bn | 6.20 Bn | 9.27% |
| 6 | Asml Holding | 719.69 Bn | 675.53 Bn | 5.90 Bn | - |
| 7 | Intel | 601.78 Bn | 486.52 Bn | 6.51 Bn | -0.05% |
| 8 | Lam Research | 434.81 Bn | 411.60 Bn | 3.48 Bn | 50.54% |
| 9 | Applied Materials | 428.57 Bn | 394.02 Bn | 4.59 Bn | 28.98% |
| 10 | MicroAlgo | 74.11 Mn | -1.04 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -16.51% |
| Mar 31, 2023 | -5.96% |
| Dec 31, 2022 | -2.31% |
| Sep 30, 2022 | 34.38% |
| Jun 30, 2022 | 32.68% |
| Mar 31, 2022 | 15.54% |
| Dec 31, 2021 | 20.36% |
| Sep 30, 2021 | -1.54% |
API Access
MicroAlgo Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();