Nexpu (DPU) Other Accumulated Expenses (2021 - 2026)
Nexpu's Other Accumulated Expenses was $194,364 in Q2 2026, down 11.6% from $219,926 a year earlier.
Analysis
Nexpu (DPU) Other Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Nexpu came in at $192,173, down 11.9% from FY2024.
- Other Accumulated Expenses shows a four-year compound annual growth rate of -18.6% (FY2021 to FY2025).
- In earlier years, Other Accumulated Expenses was $218,081 in FY2024 (+45.0%), $150,394 in FY2023 (-86.4%), $1.11 million in FY2022 (+153.3%) and $437,770 in FY2021.
- Quarterly Other Accumulated Expenses has moved between $29,098 (Q2 2023) and $1.11 million (Q4 2022) over five years.
- Compared with a year earlier, Other Accumulated Expenses was higher in 1 of the last four quarters, with an average decline of 13.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,150.22 Bn | 4,895.69 Bn | 54.82 Bn |
| 2 | Cisco Systems | 390.67 Bn | 326.60 Bn | 11.06 Bn |
| 3 | Arista Networks | 234.99 Bn | 184.19 Bn | 2.33 Bn |
| 4 | Dell Technologies | 223.66 Bn | 179.42 Bn | 9.83 Bn |
| 5 | Sony | 161.53 Bn | 96.07 Bn | 7.96 Bn |
| 6 | Sandisk | 129.94 Bn | 114.77 Bn | 9.38 Bn |
| 7 | Seagate Technology Holdings | 115.51 Bn | 110.35 Bn | 2.43 Bn |
| 8 | Western Digital | 105.83 Bn | 95.66 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 63.65 Bn | 41.53 Bn | 4.93 Bn |
| 10 | Nexpu | 1.24 Mn | -29.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 194,364.00 |
| Dec 31, 2025 | 192,173.00 |
| Jun 30, 2025 | 219,926.00 |
| Dec 31, 2024 | 218,081.00 |
| Jun 30, 2024 | 952,442.00 |
| Dec 31, 2023 | 150,394.00 |
| Jun 30, 2023 | 29,098.00 |
| Dec 31, 2022 | 1.11 Mn |
| Dec 31, 2021 | 437,770.00 |
API Access
Nexpu Other Accumulated Expenses 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=other-accumulated-expenses&ticker=DPU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=DPU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();