Xunlei (XNET) Accumulated Expenses (2013 - 2026)
Xunlei (XNET) reported Accumulated Expenses of $9.69 million for the quarter ended Jun 30, 2026, up 11.1% from $8.72 million a year earlier and unchanged from the prior quarter.
Xunlei (XNET) Accumulated Expenses (2013 - 2026) Analysis & Trends
Dating back to the quarter ended Dec 31, 2013, Xunlei's Accumulated Expenses record includes 49 quarters.
- Accumulated Expenses has declined for three consecutive years, with a five-year compound annual growth rate of -21.9% (years ended Dec 2020 to Dec 2025).
- By year, Accumulated Expenses came in at $36.34 million in the year ended Dec 31, 2024 (-13.5%), $42.04 million in the year ended Dec 31, 2023 (-3.2%), $43.45 million in the year ended Dec 31, 2022 (+2.3%) and $42.45 million in the year ended Dec 31, 2021 (+27.2%).
- Five-year quarterly Accumulated Expenses spans a low of $5.75 million in the quarter ended Sep 30, 2021 and a high of $43.45 million in the quarter ended Dec 31, 2022.
- Year over year, Accumulated Expenses gained in four of the last six quarters, with an average decline of 8.4%.
- The high point for year-over-year Accumulated Expenses in five years was the quarter ended Dec 31, 2021 (growth of 27.2%); the low point was the quarter ended Dec 31, 2025 (a decline of 73.3%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $9.69 million (quarter ended Mar 31, 2026), $9.69 million (quarter ended Dec 31, 2025) and $8.36 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn |
| 10 | Xunlei | 379.49 Mn | -762.12 Mn | 57.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.69 Mn |
| Mar 31, 2026 | 9.69 Mn |
| Dec 31, 2025 | 9.69 Mn |
| Sep 30, 2025 | 8.36 Mn |
| Jun 30, 2025 | 8.72 Mn |
| Mar 31, 2025 | 8.72 Mn |
| Dec 31, 2024 | 36.34 Mn |
| Jun 30, 2024 | 8.14 Mn |
| Mar 31, 2024 | 8.14 Mn |
| Dec 31, 2023 | 42.04 Mn |
| Sep 30, 2023 | 7.04 Mn |
| Jun 30, 2023 | 7.04 Mn |
| Mar 31, 2023 | 7.04 Mn |
| Dec 31, 2022 | 43.45 Mn |
| Sep 30, 2022 | 6.16 Mn |
| Jun 30, 2022 | 6.16 Mn |
| Mar 31, 2022 | 6.16 Mn |
| Dec 31, 2021 | 42.45 Mn |
| Sep 30, 2021 | 5.75 Mn |
| Jun 30, 2021 | 5.75 Mn |
Xunlei 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=accumulated-expenses&ticker=XNET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "XNET", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=XNET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();