Viavi Solutions (VIAV) Accumulated Expenses (2010 - 2026)
Viavi Solutions' Accumulated Expenses came in at $27.3 million for fiscal Q4 2026 (quarter ended Jun 27, 2026), down 4.9% from $28.7 million a year earlier and down 1.8% from the prior quarter.
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Analysis
Viavi Solutions (VIAV) Accumulated Expenses (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Viavi Solutions' Accumulated Expenses data covers 65 quarters.
- Accumulated Expenses carries a five-year compound annual growth rate of 1.9% (FY2021 to FY2026).
- Going back by fiscal year, Accumulated Expenses was $28.7 million in FY2025 (+13.4%), $25.3 million in FY2024 (+19.3%), $21.2 million in FY2023 (-27.6%) and $29.3 million in FY2022 (+18.1%).
- The five-year range for quarterly Accumulated Expenses is $21.2 million (fiscal Q4 2023) to $35.9 million (fiscal Q3 2024).
- Year-over-year, Accumulated Expenses increased in four of the last eight quarters, with growth averaging 2.4%.
- The fastest year-over-year change in Accumulated Expenses over five years came in fiscal Q1 2022 (growth of 55.6%), and the weakest in fiscal Q3 2025 (a decline of 28.4%).
- Business Quant data shows VIAV's Accumulated Expenses at $27.8 million (Q3 2026), $24.5 million (Q2 2026) and $29.9 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn |
| 10 | Viavi Solutions | 8.01 Bn | 5.55 Bn | 261.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 27.30 Mn |
| Mar 28, 2026 | 27.80 Mn |
| Dec 27, 2025 | 24.50 Mn |
| Sep 27, 2025 | 29.90 Mn |
| Jun 28, 2025 | 28.70 Mn |
| Mar 29, 2025 | 25.70 Mn |
| Dec 28, 2024 | 27.20 Mn |
| Sep 28, 2024 | 23.80 Mn |
| Jun 29, 2024 | 25.30 Mn |
| Mar 30, 2024 | 35.90 Mn |
| Dec 30, 2023 | 21.90 Mn |
| Sep 30, 2023 | 26.20 Mn |
| Jul 1, 2023 | 21.20 Mn |
| Apr 1, 2023 | 27.80 Mn |
| Dec 31, 2022 | 29.30 Mn |
| Oct 1, 2022 | 26.70 Mn |
| Jul 2, 2022 | 29.30 Mn |
| Apr 2, 2022 | 30.20 Mn |
| Jan 1, 2022 | 30.10 Mn |
| Oct 2, 2021 | 33.30 Mn |
API Access
Viavi Solutions 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=VIAV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VIAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();