Viavi Solutions (VIAV) Accumulated Expenses (2010 - 2026)
Viavi Solutions' (VIAV) quarterly Accumulated Expenses came in at $98.4 million in Q2 2026, up 54.72% on a YoY basis from $63.6 million in Q2 2025, and up 35.16% quarter-over-quarter from $72.8 million in Q1 2026.
Viavi Solutions (VIAV) Accumulated Expenses (2010 - 2026) Analysis & Trends
Viavi Solutions (VIAV) has reported Accumulated Expenses for 17 consecutive years, with $98.4 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses rose 54.72% year-over-year to $98.4 million; the trailing twelve-month figure through Jun 2026 stood at $98.4 million (up 54.72% YoY), and the FY2026 full-year result was $98.4 million, up 54.72% from the prior year.
- Accumulated Expenses rose to $98.4 million in Q2 2026 per VIAV's latest filing, from $72.8 million in the prior quarter.
- Across five years, Accumulated Expenses topped out at $98.4 million in Q2 2026 and bottomed at $40.5 million in Q3 2023.
- Historically, Accumulated Expenses has averaged $58.4 million across 5 years, with a median of $54.4 million in 2022.
- The sharpest annual moves came in 2023 and 2026: Accumulated Expenses tumbled 33.55% in 2023, then jumped 54.72% in 2026.
- Over 5 years, Accumulated Expenses stood at $54.4 million in 2022, then dropped by 14.34% to $46.6 million in 2023, then gained by 24.25% to $57.9 million in 2024, then surged by 38.34% to $80.1 million in 2025, then gained by 22.85% to $98.4 million in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $98.4 million, $72.8 million, and $80.1 million for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,982.68 Bn | 4,730.17 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.04 Bn | 356.97 Bn | 11.06 Bn |
| 3 | Dell Technologies | 360.24 Bn | 315.99 Bn | 9.83 Bn |
| 4 | Arista Networks | 260.49 Bn | 213.94 Bn | 1.91 Bn |
| 5 | Sandisk | 259.56 Bn | 248.08 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 207.93 Bn | 202.92 Bn | 1.90 Bn |
| 7 | Western Digital | 164.91 Bn | 153.04 Bn | 2.03 Bn |
| 8 | Sony | 155.59 Bn | 105.98 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.59 Bn | 61.47 Bn | 4.93 Bn |
| 10 | Viavi Solutions | 10.05 Bn | 7.58 Bn | 261.70 Mn |
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 |
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_KEY
import 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();