Vnet (VNET) Accumulated Expenses (2010 - 2026)
Vnet (VNET) posted Accumulated Expenses of $746.34 million for the quarter ended Jun 30, 2026, up 37.5% from $542.86 million a year earlier and up 0.6% from the prior quarter.
Vnet (VNET) Accumulated Expenses (2010 - 2026) Analysis & Trends
As of Dec 31, 2025, Vnet's Accumulated Expenses came in at $780.69 million, up 57.5% from the prior year.
- Annual Accumulated Expenses has increased for three consecutive years, with a five-year compound annual growth rate of 25.6% (years ended Dec 2020 to Dec 2025).
- In prior years, Vnet's Accumulated Expenses was $495.7 million in the year ended Dec 31, 2024 (+26.5%), $391.99 million in the year ended Dec 31, 2023 (+12.2%), $349.49 million in the year ended Dec 31, 2022 (-3.1%) and $360.62 million in the year ended Dec 31, 2021 (+44.2%).
- Quarterly Accumulated Expenses has run from a low of $299.95 million in the quarter ended Jun 30, 2022 to a high of $769.74 million in the quarter ended Dec 31, 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last 11 quarters, with growth averaging 40.0% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was the quarter ended Sep 30, 2021, with growth of 123.2%; the weakest was the quarter ended Dec 31, 2022, with a decline of 5.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $741.61 million (quarter ended Mar 31, 2026), $769.74 million (quarter ended Dec 31, 2025) and $651.14 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,889.82 Bn | 3,812.98 Bn | 60.48 Bn |
| 2 | International Business Machines | 231.21 Bn | 182.02 Bn | 9.91 Bn |
| 3 | Cloudflare | 109.32 Bn | 92.85 Bn | 499.52 Mn |
| 4 | Equinix | 92.21 Bn | 80.78 Bn | 1.40 Bn |
| 5 | Nebius | 38.83 Bn | 12.26 Bn | 448.70 Mn |
| 6 | CoreWeave | 31.73 Bn | 18.82 Bn | 1.70 Bn |
| 7 | Verisign | 27.98 Bn | 25.20 Bn | 384.60 Mn |
| 8 | Nutanix | 18.38 Bn | 10.06 Bn | 651.35 Mn |
| 9 | GoDaddy | 14.51 Bn | 10.09 Bn | 828.20 Mn |
| 10 | Vnet | 1.02 Bn | -2.71 Bn | 74.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 746.34 Mn |
| Mar 31, 2026 | 741.61 Mn |
| Dec 31, 2025 | 780.36 Mn |
| Sep 30, 2025 | 651.14 Mn |
| Jun 30, 2025 | 542.86 Mn |
| Mar 31, 2025 | 514.92 Mn |
| Dec 31, 2024 | 495.78 Mn |
| Sep 30, 2024 | 360.18 Mn |
| Jun 30, 2024 | 374.00 Mn |
| Mar 31, 2024 | 405.55 Mn |
| Dec 31, 2023 | 391.60 Mn |
| Sep 30, 2023 | 352.77 Mn |
| Jun 30, 2023 | 369.65 Mn |
| Mar 31, 2023 | 331,421.76 |
| Dec 31, 2022 | 346.18 Mn |
| Jun 30, 2022 | 299.95 Mn |
| Mar 31, 2022 | 334.28 Mn |
| Dec 31, 2021 | 360.65 Mn |
| Sep 30, 2021 | 310.60 Mn |
| Jun 30, 2021 | 137.16 Mn |
Vnet 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=VNET&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "VNET", "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=VNET&period=max&api_key=YOUR_API_KEY");
const data = await res.json();