MicroAlgo (MLGO) Retained Earnings (2020 - 2026)
MicroAlgo's Retained Earnings was -$22.57 million in Q2 2026, compared with -$991,786 a year earlier.
Analysis
MicroAlgo (MLGO) Retained Earnings (2020 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at MicroAlgo came in at $11.4 million.
- In earlier years, Retained Earnings was -$4.67 million in FY2024, -$10.89 million in FY2023, $19.14 million in FY2022 (-27.7%) and $26.48 million in FY2021.
- The Q2 2026 figure marks the lowest quarterly Retained Earnings in data going back to Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | SK hynix | 25,315.76 Bn | 25,299.34 Bn | 43.99 Bn | 157.14 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 10,307.80 Bn | 10,042.23 Bn | - | 161.28 Bn |
| 3 | Nvidia | 4,179.08 Bn | 3,953.24 Bn | 72.14 Bn | 219.16 Bn |
| 4 | Broadcom | 1,586.53 Bn | 1,512.57 Bn | 20.46 Bn | 22.15 Bn |
| 5 | Advanced Micro Devices | 875.82 Bn | 824.04 Bn | 7.21 Bn | 6.72 Bn |
| 6 | Micron Technology | 828.06 Bn | 733.70 Bn | 47.05 Bn | 131.85 Bn |
| 7 | Asml Holding | 596.24 Bn | 551.71 Bn | - | 20.66 Bn |
| 8 | Intel | 312.07 Bn | 158.13 Bn | 7.10 Bn | 36.97 Bn |
| 9 | Applied Materials | 301.25 Bn | 266.69 Bn | 4.59 Bn | 61.39 Bn |
| 10 | MicroAlgo | 17.62 Mn | -1.11 Bn | - | -22.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -22.57 Mn |
| Dec 31, 2025 | 11.45 Mn |
| Jun 30, 2025 | -991,786.00 |
| Dec 31, 2024 | -4.60 Mn |
| Jun 30, 2024 | -8.54 Mn |
| Dec 31, 2023 | -10.86 Mn |
| Jun 30, 2023 | 14.42 Mn |
| Mar 31, 2023 | 17.88 Mn |
| Dec 31, 2022 | 18.61 Mn |
| Sep 30, 2022 | -3.41 Mn |
| Jun 30, 2022 | -3.01 Mn |
| Mar 31, 2022 | -2.46 Mn |
| Dec 31, 2021 | 26.48 Mn |
| Sep 30, 2021 | -1.80 Mn |
| Jun 30, 2021 | -1.46 Mn |
| Mar 31, 2021 | -1.25 Mn |
| Dec 31, 2020 | -128,662.00 |
API Access
MicroAlgo Retained Earnings 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=retained-earnings&ticker=MLGO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();