Viavi Solutions (VIAV) Price to Earnings (2011 - 2025)
Viavi Solutions' (VIAV) quarterly Price to Earnings came in at 366.5 in Q2 2026, up 21.62% on a YoY basis from 301.35 in Q2 2025, and down 71.06% quarter-over-quarter from 1266.52 in Q1 2026.
Viavi Solutions (VIAV) Price to Earnings (2011 - 2025) Analysis & Trends
Viavi Solutions (VIAV) has reported Price to Earnings for 18 consecutive years, with 366.5 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings rose 21.62% year-over-year to 366.5; the trailing twelve-month figure through Jun 2026 stood at 377.07 (down 678.29% YoY), and the FY2026 full-year result was 377.07, down 678.29% from the prior year.
- Price to Earnings fell to 366.5 in Q2 2026 per VIAV's latest filing, from 1266.52 in the prior quarter.
- Across five years, Price to Earnings topped out at 1266.52 in Q1 2026 and bottomed at 25152.6 in Q3 2023.
- Historically, Price to Earnings has averaged 1221.11 across 5 years, with a median of 128.77 in 2025.
- The sharpest annual moves came in 2023 and 2026: Price to Earnings sank 14128.74% in 2023, then soared 883.57% in 2026.
- Over 5 years, Price to Earnings stood at 281.52 in 2022, then dropped by 25.45% to 209.87 in 2023, then rose by 18.33% to 248.35 in 2024, then plunged by 134.97% to 86.84 in 2025, then jumped by 522.04% to 366.5 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 366.5, 1266.52, and 86.84 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 |
|---|---|
| Sep 27, 2025 | 179.13 |
| Jun 28, 2025 | 64.08 |
| Mar 29, 2025 | 492.35 |
| Dec 30, 2023 | 449.12 |
| Sep 30, 2023 | 751.51 |
| Jul 1, 2023 | 98.64 |
| Apr 1, 2023 | 57.11 |
| Dec 31, 2022 | 30.83 |
| Oct 1, 2022 | 28.79 |
| Jul 2, 2022 | 190.86 |
| Apr 2, 2022 | 1,586.09 |
| Jan 1, 2022 | 13,684.87 |
| Jul 3, 2021 | 59.01 |
| Apr 3, 2021 | 40.36 |
| Jan 2, 2021 | 83.87 |
| Oct 3, 2020 | 65.01 |
| Jun 27, 2020 | 99.74 |
| Mar 28, 2020 | 173.91 |
| Dec 28, 2019 | 81.83 |
| Sep 28, 2019 | 117.84 |
Viavi Solutions Price to Earnings 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=price-to-earnings&ticker=VIAV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=VIAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();