AsiaStrategy (SORA) Payables (2023 - 2026)
AsiaStrategy (SORA) reported Payables of $780,463 for the quarter ended Jun 30, 2026, compared with $62,037 a year earlier.
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Analysis
AsiaStrategy (SORA) Payables (2023 - 2026) Analysis & Trends
As of Dec 31, 2025, AsiaStrategy posted Payables of $3.48 million.
- Payables has a three-year compound annual growth rate of 142.6% (years ended Dec 2022 to Dec 2025).
- By year, Payables came in at $61,791 in the year ended Dec 31, 2024 (-77.7%), $277,500 in the year ended Dec 31, 2023 (+13.8%) and $243,796 in the year ended Dec 31, 2022.
- Five-year quarterly Payables spans a low of $61,791 in the quarter ended Dec 31, 2024 and a high of $3.48 million in the quarter ended Dec 31, 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,828.15 Bn | 2,344.85 Bn | 104.83 Bn | 147.44 Bn |
| 2 | Home Depot | 312.02 Bn | 305.26 Bn | 16.12 Bn | 17.83 Bn |
| 3 | Tjx Companies | 160.78 Bn | 138.32 Bn | 5.07 Bn | 5.02 Bn |
| 4 | Lowes Companies | 109.83 Bn | 102.79 Bn | 8.58 Bn | 11.08 Bn |
| 5 | Ross Stores | 74.49 Bn | 57.42 Bn | 2.12 Bn | 2.62 Bn |
| 6 | O Reilly Automotive | 73.51 Bn | 72.60 Bn | 2.52 Bn | 7.38 Bn |
| 7 | Target | 69.38 Bn | 63.97 Bn | 8.94 Bn | 13.31 Bn |
| 8 | Autozone | 52.02 Bn | 50.92 Bn | 2.52 Bn | 8.40 Bn |
| 9 | Carvana | 42.62 Bn | 33.11 Bn | 1.38 Bn | 1.72 Bn |
| 10 | AsiaStrategy | 56.85 Mn | 11.05 Mn | - | 780,463.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 780,463.00 |
| Dec 31, 2025 | 3.48 Mn |
| Jun 30, 2025 | 62,037.00 |
| Dec 31, 2024 | 61,791.00 |
| Dec 31, 2023 | 277,500.00 |
API Access
AsiaStrategy Payables 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=payables&ticker=SORA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=SORA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();