Viavi Solutions (VIAV) Price to Earnings (2011 - 2025)
Viavi Solutions' Price to Earnings was 179.13 in fiscal Q1 2026 (quarter ended Sep 27, 2025), up 179.5% from the prior quarter.
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Analysis
Viavi Solutions (VIAV) Price to Earnings (2011 - 2025) Analysis & Trends
For FY2025 (ended Jun 28, 2025), Price to Earnings at Viavi Solutions came in at 64.08.
- In earlier fiscal years, Price to Earnings was 98.64 in FY2023 (-48.3%), 190.86 in FY2022 (+223.4%) and 59.01 in FY2021 (+1.0%).
- Quarterly Price to Earnings has moved between 28.79 (fiscal Q1 2023) and 13684.87 (fiscal Q2 2022) over five years.
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 |
|---|---|
| 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 |
API Access
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_KEYimport 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();