Viavi Solutions (VIAV) Operating Expenses (2009 - 2026)
Viavi Solutions' Operating Expenses was $200.4 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 35.2% from $148.2 million a year earlier but down 4.3% from the prior quarter.
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Analysis
Viavi Solutions (VIAV) Operating Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Operating Expenses at Viavi Solutions came in at $770.3 million, up 36.7% from FY2025.
- Operating Expenses shows a five-year compound annual growth rate of 6.1% (FY2021 to FY2026).
- In earlier fiscal years, Operating Expenses was $563.6 million in FY2025 (+1.5%), $555.1 million in FY2024 (-0.2%), $556.4 million in FY2023 (-5.5%) and $588.5 million in FY2022 (+2.8%).
- Quarterly Operating Expenses has moved between $124.6 million (fiscal Q1 2025) and $209.3 million (fiscal Q3 2026) over five years.
- Compared with a year earlier, Operating Expenses has increased for four straight quarters, with growth averaging 19.1% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q2 2026 (growth of 43.7%); the worst was fiscal Q2 2024 (a decline of 12.8%).
- Per Business Quant data, VIAV's Operating Expenses in the three fiscal quarters before Q4 2026 was $209.3 million (Q3 2026), $199.2 million (Q2 2026) and $161.4 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 14.83 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 2.07 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 465.00 Mn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Viavi Solutions | 8.01 Bn | 5.55 Bn | 261.70 Mn | 200.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 200.40 Mn |
| Mar 28, 2026 | 209.30 Mn |
| Dec 27, 2025 | 199.20 Mn |
| Sep 27, 2025 | 161.40 Mn |
| Jun 28, 2025 | 148.20 Mn |
| Mar 29, 2025 | 152.20 Mn |
| Dec 28, 2024 | 138.60 Mn |
| Sep 28, 2024 | 124.60 Mn |
| Jun 29, 2024 | 151.30 Mn |
| Mar 30, 2024 | 149.80 Mn |
| Dec 30, 2023 | 125.60 Mn |
| Sep 30, 2023 | 128.40 Mn |
| Jul 1, 2023 | 134.20 Mn |
| Apr 1, 2023 | 143.10 Mn |
| Dec 31, 2022 | 144.10 Mn |
| Oct 1, 2022 | 135.00 Mn |
| Jul 2, 2022 | 153.10 Mn |
| Apr 2, 2022 | 146.10 Mn |
| Jan 1, 2022 | 141.20 Mn |
| Oct 2, 2021 | 148.10 Mn |
API Access
Viavi Solutions 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=VIAV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "VIAV", "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=VIAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();