Vistance Networks (VISN) Operating Expenses (2012 - 2026)
Vistance Networks' Operating Expenses was $122.3 million in Q2 2026, down 18.8% from $150.7 million a year earlier and down 42.1% from the prior quarter.
Vistance Networks (VISN) Operating Expenses (2012 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vistance Networks' Operating Expenses was $567.9 million through Jun 30, 2026, down 8.3% year-over-year; for FY2025, it came in at $943.8 million, up 2.4% from FY2024.
- Operating Expenses shows a five-year compound annual growth rate of -19.5% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $921.3 million in FY2024 (-40.9%), $1.56 billion in FY2023 (-46.6%), $2.92 billion in FY2022 (+30.2%) and $2.24 billion in FY2021 (-19.9%).
- Quarterly Operating Expenses has moved between -$141 million (Q4 2025) and $1.11 billion (Q4 2022) over five years.
- Compared with a year earlier, Operating Expenses was higher in 1 of the last six quarters, with an average decline of 26.7%.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2022 (growth of 333.8%); the worst was Q3 2024 (a decline of 57.2%).
- Per Business Quant data, VISN's Operating Expenses in the three quarters before Q2 2026 was $211.1 million (Q1 2026), -$141 million (Q4 2025) and $375.5 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Vistance Networks | 1.36 Bn | -2.58 Bn | 112.90 Mn | 122.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 122.30 Mn |
| Mar 31, 2026 | 211.10 Mn |
| Dec 31, 2025 | -141.00 Mn |
| Sep 30, 2025 | 375.50 Mn |
| Jun 30, 2025 | 150.70 Mn |
| Mar 31, 2025 | 222.60 Mn |
| Dec 31, 2024 | -91.40 Mn |
| Sep 30, 2024 | 337.30 Mn |
| Jun 30, 2024 | 316.00 Mn |
| Mar 31, 2024 | 359.40 Mn |
| Dec 31, 2023 | -40.90 Mn |
| Sep 30, 2023 | 788.60 Mn |
| Jun 30, 2023 | 470.70 Mn |
| Mar 31, 2023 | 447.10 Mn |
| Dec 31, 2022 | 1.11 Bn |
| Sep 30, 2022 | 580.70 Mn |
| Jun 30, 2022 | 620.10 Mn |
| Mar 31, 2022 | 609.50 Mn |
| Dec 31, 2021 | 256.00 Mn |
| Sep 30, 2021 | 632.00 Mn |
Vistance Networks Operating 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=operating-expenses&ticker=VISN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=VISN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();