AsiaStrategy (SORA) Total Liabilities (2023 - 2026)
AsiaStrategy (SORA) posted Total Liabilities of $15.88 million for the quarter ended Jun 30, 2026, up 198.6% from $5.32 million a year earlier.
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Analysis
AsiaStrategy (SORA) Total Liabilities (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, AsiaStrategy's Total Liabilities came in at $17.92 million, up 241.1% from the prior year.
- In prior years, AsiaStrategy's Total Liabilities was $5.25 million in the year ended Dec 31, 2024 (-14.7%) and $6.16 million in the year ended Dec 31, 2023.
- Quarterly Total Liabilities has run from a low of $5.25 million in the quarter ended Dec 31, 2024 to a high of $17.92 million in the quarter ended Dec 31, 2025 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,711.69 Bn | 2,228.38 Bn | 104.83 Bn | 544.07 Bn |
| 2 | Home Depot | 323.06 Bn | 316.30 Bn | 16.12 Bn | 92.77 Bn |
| 3 | Tjx Companies | 162.57 Bn | 140.12 Bn | 5.07 Bn | 26.46 Bn |
| 4 | Lowes Companies | 113.61 Bn | 106.58 Bn | 8.58 Bn | 63.32 Bn |
| 5 | O Reilly Automotive | 75.24 Bn | 74.33 Bn | 2.52 Bn | 19.22 Bn |
| 6 | Ross Stores | 74.67 Bn | 57.59 Bn | 2.12 Bn | 9.24 Bn |
| 7 | Target | 70.03 Bn | 64.62 Bn | 8.94 Bn | 43.39 Bn |
| 8 | Autozone | 53.20 Bn | 52.10 Bn | 2.52 Bn | 23.70 Bn |
| 9 | Carvana | 42.25 Bn | 32.74 Bn | 1.38 Bn | 9.41 Bn |
| 10 | AsiaStrategy | 60.49 Mn | 14.69 Mn | - | 15.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.88 Mn |
| Dec 31, 2025 | 17.92 Mn |
| Jun 30, 2025 | 5.32 Mn |
| Dec 31, 2024 | 5.25 Mn |
| Dec 31, 2023 | 6.16 Mn |
API Access
AsiaStrategy Total 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-liabilities&ticker=SORA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SORA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();