Vistance Networks (VISN) Accumulated Expenses (2012 - 2026)
Vistance Networks (VISN) posted Accumulated Expenses of $222.2 million for Q2 2026, down 64.6% from $627 million a year earlier and down 33.5% from the prior quarter.
Powered by 
Analysis
Vistance Networks (VISN) Accumulated Expenses (2012 - 2026) Analysis & Trends
At the end of FY2025, Vistance Networks' Accumulated Expenses came in at $306.7 million, down 32.9% from FY2024.
- Annual Accumulated Expenses has declined for four consecutive years, with a five-year compound annual growth rate of -19.6% (FY2020 to FY2025).
- In prior years, Vistance Networks' Accumulated Expenses was $457 million in FY2024 (-18.8%), $562.9 million in FY2023 (-35.2%), $868.6 million in FY2022 (-12.2%) and $989.8 million in FY2021 (+8.7%).
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q2 2014.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last three quarters, with an average decline of 20.7% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q3 2025, with growth of 23.6%; the weakest was Q2 2026, with a decline of 64.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $334 million (Q1 2026), $306.7 million (Q4 2025) and $651.3 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Vistance Networks | 1.34 Bn | -2.61 Bn | 112.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 222.20 Mn |
| Mar 31, 2026 | 334.00 Mn |
| Dec 31, 2025 | 306.70 Mn |
| Sep 30, 2025 | 651.30 Mn |
| Jun 30, 2025 | 627.00 Mn |
| Mar 31, 2025 | 581.40 Mn |
| Dec 31, 2024 | 457.00 Mn |
| Sep 30, 2024 | 527.00 Mn |
| Jun 30, 2024 | 671.70 Mn |
| Mar 31, 2024 | 562.30 Mn |
| Dec 31, 2023 | 562.90 Mn |
| Sep 30, 2023 | 719.20 Mn |
| Jun 30, 2023 | 906.90 Mn |
| Mar 31, 2023 | 864.90 Mn |
| Dec 31, 2022 | 868.60 Mn |
| Sep 30, 2022 | 990.00 Mn |
| Jun 30, 2022 | 948.00 Mn |
| Mar 31, 2022 | 917.30 Mn |
| Dec 31, 2021 | 989.80 Mn |
| Sep 30, 2021 | 884.60 Mn |
API Access
Vistance Networks 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=VISN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "VISN", "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=VISN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();