Viavi Solutions (VIAV) Interest Expenses (2009 - 2026)
Viavi Solutions (VIAV) recorded Interest Expenses of $10.4 million in fiscal Q4 2026 (quarter ended Jun 27, 2026), up 38.7% from $7.5 million a year earlier but down 27.3% from the prior quarter.
Viavi Solutions (VIAV) Interest Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Jun 27, 2026), Viavi Solutions reported Interest Expenses of $47.4 million, up 58.0% from FY2025.
- Annual Interest Expenses has a five-year compound annual growth rate of 26.4% (FY2021 to FY2026).
- Across earlier fiscal years, Interest Expenses came in at $30 million in FY2025 (-2.9%), $30.9 million in FY2024 (+14.0%), $27.1 million in FY2023 (+16.3%) and $23.3 million in FY2022 (+58.5%).
- Quarterly Interest Expenses has ranged from $3.6 million in fiscal Q1 2022 to $15.3 million in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Interest Expenses has increased for three consecutive quarters, with growth averaging 27.6% over the last eight quarters.
- Peak year-over-year performance for Interest Expenses in the last five years was growth of 104.0% in fiscal Q2 2026, against a decline of 12.7% in fiscal Q2 2023 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $14.3 million (Q3 2026), $15.3 million (Q2 2026) and $7.4 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (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 | 373.00 Mn |
| 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 | 2.00 Mn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 147.26 Mn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 64.00 Mn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 14.00 Mn |
| 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 | 10.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 10.40 Mn |
| Mar 28, 2026 | 14.30 Mn |
| Dec 27, 2025 | 15.30 Mn |
| Sep 27, 2025 | 7.40 Mn |
| Jun 28, 2025 | 7.50 Mn |
| Mar 29, 2025 | 7.50 Mn |
| Dec 28, 2024 | 7.50 Mn |
| Sep 28, 2024 | 7.50 Mn |
| Jun 29, 2024 | 7.50 Mn |
| Mar 30, 2024 | 7.70 Mn |
| Dec 30, 2023 | 7.90 Mn |
| Sep 30, 2023 | 7.80 Mn |
| Jul 1, 2023 | 8.10 Mn |
| Apr 1, 2023 | 6.70 Mn |
| Dec 31, 2022 | 6.20 Mn |
| Oct 1, 2022 | 6.10 Mn |
| Jul 2, 2022 | 6.20 Mn |
| Apr 2, 2022 | 6.40 Mn |
| Jan 1, 2022 | 7.10 Mn |
| Oct 2, 2021 | 3.60 Mn |
Viavi Solutions Interest 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=interest-expenses&ticker=VIAV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=VIAV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();