Viavi Solutions (VIAV) Total Liabilities (2010 - 2026)
Viavi Solutions' Total Liabilities came in at $1.26 billion for fiscal Q4 2026 (quarter ended Jun 27, 2026), up 3.6% from $1.21 billion a year earlier but down 25.2% from the prior quarter.
Viavi Solutions (VIAV) Total Liabilities (2010 - 2026) Analysis & Trends
Going back to fiscal Q4 2010, Viavi Solutions' Total Liabilities data covers 65 quarters.
- Total Liabilities carries a five-year compound annual growth rate of 1.0% (FY2021 to FY2026).
- Going back by fiscal year, Total Liabilities was $1.21 billion in FY2025 (+15.1%), $1.05 billion in FY2024 (-9.1%), $1.16 billion in FY2023 (+0.3%) and $1.16 billion in FY2022 (-3.4%).
- The five-year range for quarterly Total Liabilities is $1.04 billion (fiscal Q1 2025) to $1.94 billion (fiscal Q2 2026).
- Year-over-year, Total Liabilities has increased for six consecutive quarters, with growth averaging 22.0% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2026 (growth of 86.5%), and the weakest in fiscal Q3 2024 (a decline of 15.9%).
- Business Quant data shows VIAV's Total Liabilities at $1.68 billion (Q3 2026), $1.94 billion (Q2 2026) and $1.36 billion (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 44.91 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 7.81 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 5.00 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Viavi Solutions | 8.01 Bn | 5.55 Bn | 261.70 Mn | 1.26 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 1.26 Bn |
| Mar 28, 2026 | 1.68 Bn |
| Dec 27, 2025 | 1.94 Bn |
| Sep 27, 2025 | 1.36 Bn |
| Jun 28, 2025 | 1.21 Bn |
| Mar 29, 2025 | 1.20 Bn |
| Dec 28, 2024 | 1.04 Bn |
| Sep 28, 2024 | 1.04 Bn |
| Jun 29, 2024 | 1.05 Bn |
| Mar 30, 2024 | 1.04 Bn |
| Dec 30, 2023 | 1.13 Bn |
| Sep 30, 2023 | 1.13 Bn |
| Jul 1, 2023 | 1.16 Bn |
| Apr 1, 2023 | 1.24 Bn |
| Dec 31, 2022 | 1.14 Bn |
| Oct 1, 2022 | 1.12 Bn |
| Jul 2, 2022 | 1.16 Bn |
| Apr 2, 2022 | 1.17 Bn |
| Jan 1, 2022 | 1.24 Bn |
| Oct 2, 2021 | 1.31 Bn |
Viavi Solutions Total Liabilities 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=total-liabilities&ticker=VIAV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=VIAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();