MicroAlgo (MLGO) Receivables (2021 - 2026)
MicroAlgo (MLGO) posted Receivables of $3.73 million for Q2 2026, up 14.7% from $3.25 million a year earlier.
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Analysis
MicroAlgo (MLGO) Receivables (2021 - 2026) Analysis & Trends
At the end of FY2025, MicroAlgo's Receivables came in at $6.2 million, up 88.0% from FY2024.
- Annual Receivables shows a four-year compound annual growth rate of 22.4% (FY2021 to FY2025).
- In prior years, MicroAlgo's Receivables was $3.3 million in FY2024 (+1.5%), $3.25 million in FY2023 (-62.0%), $8.56 million in FY2022 (+209.3%) and $2.77 million in FY2021.
- Quarterly Receivables has run from a low of $1.65 million in Q1 2023 to a high of $31.59 million in Q2 2024 over five years.
- On a year-over-year basis, Receivables increased in three of the last four quarters, with growth averaging 3.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,327.36 Bn | 5,101.52 Bn | 72.14 Bn | 63.30 Bn |
| 2 | Taiwan Semiconductor Manufacturing | 2,228.56 Bn | 1,853.43 Bn | 27.22 Bn | 13.84 Bn |
| 3 | Broadcom | 1,605.62 Bn | 1,531.66 Bn | 20.46 Bn | 20.89 Bn |
| 4 | Micron Technology | 1,009.53 Bn | 915.16 Bn | 47.05 Bn | 36.65 Bn |
| 5 | Advanced Micro Devices | 894.29 Bn | 851.04 Bn | 6.20 Bn | 7.28 Bn |
| 6 | Asml Holding | 648.97 Bn | 604.66 Bn | 5.90 Bn | 4.07 Bn |
| 7 | Intel | 467.32 Bn | 336.46 Bn | 6.51 Bn | 4.03 Bn |
| 8 | Lam Research | 334.28 Bn | 311.07 Bn | 3.48 Bn | 5.34 Bn |
| 9 | Applied Materials | 326.41 Bn | 291.85 Bn | 4.59 Bn | 7.69 Bn |
| 10 | MicroAlgo | 19.92 Mn | -1.11 Bn | - | 3.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.74 Mn |
| Dec 31, 2025 | 6.23 Mn |
| Jun 30, 2025 | 3.28 Mn |
| Dec 31, 2024 | 3.25 Mn |
| Jun 30, 2024 | 31.47 Mn |
| Dec 31, 2023 | 3.24 Mn |
| Jun 30, 2023 | 29.99 Mn |
| Mar 31, 2023 | 1.65 Mn |
| Dec 31, 2022 | 8.35 Mn |
| Dec 31, 2021 | 2.77 Mn |
API Access
MicroAlgo Receivables 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=receivables&ticker=MLGO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MLGO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();