AsiaStrategy (SORA) Cash & Equivalents (2023 - 2025)
AsiaStrategy (SORA) reported Cash & Equivalents of $1.46 million for the quarter ended Dec 31, 2025, down 44.5% from $2.64 million a year earlier.
Powered by 
Analysis
AsiaStrategy (SORA) Cash & Equivalents (2023 - 2025) Analysis & Trends
Dating back to the quarter ended Dec 31, 2023, AsiaStrategy's Cash & Equivalents record includes 4 quarters.
- Cash & Equivalents has a three-year compound annual growth rate of -98.9% (years ended Dec 2022 to Dec 2025).
- By year, Cash & Equivalents came in at $2.64 million in the year ended Dec 31, 2024 (-100.0%), $1.5 trillion in the year ended Dec 31, 2023 (+26.5%) and $1.18 trillion in the year ended Dec 31, 2022.
- The figure for the quarter ended Dec 31, 2025 ranks as the lowest quarterly Cash & Equivalents since the quarter ended Dec 31, 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,712.14 Bn | 2,228.84 Bn | 104.83 Bn | 78.21 Bn |
| 2 | Home Depot | 282.27 Bn | 275.52 Bn | 16.12 Bn | 2.09 Bn |
| 3 | Tjx Companies | 146.16 Bn | 123.70 Bn | 5.07 Bn | 6.00 Bn |
| 4 | Lowes Companies | 101.42 Bn | 94.39 Bn | 8.58 Bn | 3.17 Bn |
| 5 | Ross Stores | 73.06 Bn | 55.98 Bn | 2.12 Bn | 4.29 Bn |
| 6 | Target | 70.86 Bn | 65.45 Bn | 8.94 Bn | - |
| 7 | Carvana | 70.11 Bn | 61.71 Bn | 1.38 Bn | 2.63 Bn |
| 8 | O Reilly Automotive | 69.29 Bn | 68.38 Bn | 2.52 Bn | 262.18 Mn |
| 9 | Autozone | 45.61 Bn | 44.51 Bn | 2.52 Bn | 253.73 Mn |
| 10 | AsiaStrategy | 55.45 Mn | 27.01 Mn | - | 1.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 1.46 Mn |
| Jun 30, 2025 | 5.59 Mn |
| Dec 31, 2024 | 2.64 Mn |
| Dec 31, 2023 | 1.12 Mn |
API Access
AsiaStrategy Cash & Equivalents 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=cash-and-equivalents&ticker=SORA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "ticker": "SORA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=cash-and-equivalents&ticker=SORA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();