MicroAlgo (MLGO) Price to Book (2021 - 2026)
MicroAlgo's Price to Book came in at 0.31 for Q2 2026, down 82.3% from 1.73 a year earlier.
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Analysis
MicroAlgo (MLGO) Price to Book (2021 - 2026) Analysis & Trends
Going back to Q4 2021, MicroAlgo's Price to Book data covers 11 quarters.
- Going back by year, Price to Book was 27.76 in FY2024 (-9.7%), 30.75 in FY2023 (+23.2%), 24.96 in FY2022 (-89.0%) and 226.79 in FY2021.
- The Q2 2026 figure represents the lowest quarterly Price to Book in data going back to Q4 2021.
- The fastest year-over-year change in Price to Book over five years came in Q4 2023 (growth of 41.5%), and the weakest in Q4 2025 (a decline of 98.9%).
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, 2026 | 0.31 |
| Dec 31, 2025 | 0.31 |
| Jun 30, 2025 | 1.73 |
| Dec 31, 2024 | 27.74 |
| Jun 30, 2024 | 32.65 |
| Dec 31, 2023 | 31.26 |
| Jun 30, 2023 | 50.69 |
| Mar 31, 2023 | 40.70 |
| Dec 31, 2022 | 22.10 |
| Mar 31, 2022 | 201.56 |
| Dec 31, 2021 | 226.79 |
API Access
MicroAlgo Price to Book 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=price-to-book&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();