Top KingWin (DPU) Total Non-Current Liabilities (2021 - 2025)
Top KingWin (DPU) recorded Total Non-Current Liabilities of $104,798 in Q2 2025, up 98.5% from $52,797 a year earlier.
Analysis
Top KingWin (DPU) Total Non-Current Liabilities (2021 - 2025) Analysis & Trends
At the end of FY2024, Top KingWin reported Total Non-Current Liabilities of $282,454, up 74.5% from FY2023.
- Annual Total Non-Current Liabilities has a three-year compound annual growth rate of -17.0% (FY2021 to FY2024).
- Across earlier years, Total Non-Current Liabilities came in at $161,886 in FY2023 (-56.6%), $373,068 in FY2022 (-24.5%) and $494,425 in FY2021.
- Quarterly Total Non-Current Liabilities has ranged from $52,797 in Q2 2024 to $494,425 in Q4 2021 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in two of the last four quarters, with growth averaging 9.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 126.42 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 76.03 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 124.65 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 8.58 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 3.27 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 6.63 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 4.24 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.78 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 47.78 Bn |
| 10 | Top KingWin | 1.38 Mn | -29.19 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 104,798.00 |
| Dec 31, 2024 | 282,454.00 |
| Jun 30, 2024 | 52,797.00 |
| Dec 31, 2023 | 161,886.00 |
| Jun 30, 2023 | 266,414.00 |
| Dec 31, 2022 | 373,068.00 |
| Dec 31, 2021 | 494,425.00 |
API Access
Top KingWin Total Non-Current 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-non-current-liabilities&ticker=DPU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DPU", "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-non-current-liabilities&ticker=DPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();