MicroAlgo (MLGO) Enterprise Value (2021 - 2026)
MicroAlgo's Enterprise Value came in at -$209.5 million for Q2 2026, compared with $241 million a year earlier.
MicroAlgo (MLGO) Enterprise Value (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, MicroAlgo reported Enterprise Value of -$1.02 billion; for FY2025, it came in at -$228.99 million.
- Going back by year, Enterprise Value was $3.93 billion in FY2024 (+187.8%), $1.37 billion in FY2023 (-14.8%), $1.6 billion in FY2022 (-86.6%) and $11.93 billion in FY2021.
- The five-year range for quarterly Enterprise Value is -$226 million (Q4 2025) to $12.3 billion (Q3 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Nvidia | 5,317.20 Bn | 5,091.36 Bn | 72.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,212.75 Bn | 1,837.61 Bn | 27.22 Bn |
| 3 | Broadcom | 1,593.46 Bn | 1,519.51 Bn | 20.46 Bn |
| 4 | Micron Technology | 1,024.76 Bn | 930.40 Bn | 47.05 Bn |
| 5 | Advanced Micro Devices | 891.06 Bn | 847.80 Bn | 6.20 Bn |
| 6 | Asml Holding | 648.79 Bn | 604.48 Bn | 5.90 Bn |
| 7 | Intel | 471.00 Bn | 340.13 Bn | 6.51 Bn |
| 8 | Lam Research | 334.45 Bn | 311.25 Bn | 3.48 Bn |
| 9 | Applied Materials | 325.14 Bn | 290.59 Bn | 4.59 Bn |
| 10 | MicroAlgo | 20.15 Mn | -1.11 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -253.75 Mn |
| Dec 31, 2025 | -278.90 Mn |
| Jun 30, 2025 | 37.71 Mn |
| Dec 31, 2024 | 2.45 Bn |
| Jun 30, 2024 | 2.46 Bn |
| Dec 31, 2023 | 1.37 Bn |
| Jun 30, 2023 | 3.02 Bn |
| Mar 31, 2023 | 2.70 Bn |
| Dec 31, 2022 | 1.60 Bn |
| Sep 30, 2022 | 12.30 Bn |
| Jun 30, 2022 | 12.14 Bn |
| Mar 31, 2022 | 12.05 Bn |
| Dec 31, 2021 | 11.93 Bn |
MicroAlgo Enterprise Value 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=enterprise-value&ticker=MLGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();