MicroAlgo (MLGO) Other Accumulated Expenses (2019 - 2026)
MicroAlgo (MLGO) reported Other Accumulated Expenses of $4.44 million for Q4 2025, up 125.5% from $1.97 million a year earlier.
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Analysis
MicroAlgo (MLGO) Other Accumulated Expenses (2019 - 2026) Analysis & Trends
At the end of FY2025, MicroAlgo posted Other Accumulated Expenses of $4.48 million, up 127.6% from FY2024.
- Other Accumulated Expenses has a four-year compound annual growth rate of 86.1% (FY2021 to FY2025).
- By year, Other Accumulated Expenses came in at $1.97 million in FY2024 (-24.6%), $2.61 million in FY2023, $159,051 in FY2022 (-57.4%) and $373,421 in FY2021.
- The Q4 2025 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to Q4 2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | SK hynix | 24,576.54 Bn | 24,560.31 Bn | 43.99 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,284.32 Bn | 9,899.31 Bn | 27.22 Bn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn |
| 10 | MicroAlgo | 27.11 Mn | -1.10 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.08 Mn |
| Dec 31, 2025 | 4.50 Mn |
| Jun 30, 2025 | 1.14 Mn |
| Dec 31, 2024 | 1.94 Mn |
| Jun 30, 2024 | 1.84 Mn |
| Dec 31, 2023 | 1.85 Mn |
| Jun 30, 2023 | 2.70 Mn |
| Mar 31, 2023 | 153,333.00 |
| Dec 31, 2022 | 528,158.46 |
| Sep 30, 2022 | 733,421.00 |
| Jun 30, 2022 | 643,421.00 |
| Mar 31, 2022 | 543,420.00 |
| Dec 31, 2021 | 373,421.00 |
| Dec 31, 2020 | 26,750.00 |
| Dec 31, 2019 | 26,750.00 |
API Access
MicroAlgo Other Accumulated Expenses 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=other-accumulated-expenses&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();