MicroAlgo (MLGO) Change in Accrued Expenses (2020 - 2023)
MicroAlgo (MLGO) reported Change in Accured Expenses of $2.47 million for FY2025, compared with -$7.26 million in FY2024.
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Analysis
MicroAlgo (MLGO) Change in Accrued Expenses (2020 - 2023) Analysis & Trends
Dating back to FY2020, MicroAlgo's Change in Accured Expenses record includes 6 years.
- Change in Accured Expenses has a five-year compound annual growth rate of 128.0% (FY2020 to FY2025).
- The FY2025 figure ranks as the highest annual Change in Accured Expenses in data going back to FY2020.
- According to Business Quant data, Change in Accured Expenses came in at -$7.26 million in FY2024, $1.06 million in FY2023, -$54,589 in FY2022 and $281,784 in FY2021 (+605.0%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (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 | 157.82 Mn |
| 3 | Nvidia | 4,083.27 Bn | 3,857.43 Bn | 72.14 Bn | 252.00 Mn |
| 4 | Broadcom | 1,582.22 Bn | 1,508.26 Bn | 20.46 Bn | -619.00 Mn |
| 5 | Advanced Micro Devices | 844.94 Bn | 793.16 Bn | 7.21 Bn | 323.00 Mn |
| 6 | Micron Technology | 820.10 Bn | 725.74 Bn | 47.05 Bn | 5.38 Bn |
| 7 | Asml Holding | 581.15 Bn | 536.84 Bn | 5.90 Bn | - |
| 8 | Intel | 308.67 Bn | 171.38 Bn | 7.10 Bn | 165.00 Mn |
| 9 | Applied Materials | 295.64 Bn | 261.08 Bn | 4.59 Bn | 633.00 Mn |
| 10 | MicroAlgo | 27.11 Mn | -1.10 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 1.25 Mn |
| Mar 31, 2023 | -133,370.00 |
| Dec 31, 2022 | -37,089.00 |
| Sep 30, 2022 | 2,500.00 |
| Jun 30, 2022 | -93,064.00 |
| Mar 31, 2022 | 73,064.00 |
| Dec 31, 2021 | 245,698.00 |
| Sep 30, 2021 | 45,000.00 |
| Jun 30, 2021 | 13,923.00 |
| Mar 31, 2021 | -22,837.00 |
| Dec 31, 2020 | 27,500.00 |
| Mar 31, 2020 | 367.00 |
API Access
MicroAlgo Change in Accrued 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=change-in-accured-expenses&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();