MicroAlgo (MLGO) Total Non-Current Liabilities (2021 - 2026)
MicroAlgo's Total Non-Current Liabilities was $67,341 in Q2 2026, up 24.8% from $53,948 a year earlier.
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Analysis
MicroAlgo (MLGO) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at MicroAlgo came in at $34,273, down 64.6% from FY2024.
- Total Non-Current Liabilities shows a four-year compound annual growth rate of -81.3% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $96,899 in FY2024, $5.92 million in FY2022 (-78.7%) and $27.8 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities since Q4 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | 80.37 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | 33.01 Bn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | 78.01 Bn |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 26.30 Bn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | 15.78 Bn |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | 7.79 Bn |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | 84.22 Bn |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | 10.35 Bn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | 16.48 Bn |
| 10 | MicroAlgo | 72.94 Mn | -1.04 Bn | - | 67,341.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 67,341.00 |
| Dec 31, 2025 | 33,964.41 |
| Jun 30, 2025 | 53,948.00 |
| Dec 31, 2024 | 96,970.57 |
| Jun 30, 2024 | 56,593.00 |
| Jun 30, 2023 | 11.98 Mn |
| Mar 31, 2023 | 8.41 Mn |
| Dec 31, 2022 | -4.10 Mn |
| Dec 31, 2021 | 27.80 Mn |
| Mar 31, 2021 | 47.63 Mn |
API Access
MicroAlgo Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();