Avanos Medical (AVNS) Non Operating Interest Expenses (2013 - 2026)
Avanos Medical's Non Operating Interest Expenses was $1.5 million in Q1 2026, down 28.6% from $2.1 million a year earlier and down 21.1% from the prior quarter.
Avanos Medical (AVNS) Non Operating Interest Expenses (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, Avanos Medical's Non Operating Interest Expenses was $7.2 million through Mar 31, 2026, down 35.7% year-over-year; for FY2025, it was $7.8 million, down 36.1% from FY2024.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of -12.9% (FY2020 to FY2025).
- In earlier years, Non Operating Interest Expenses was $12.2 million in FY2024 (-18.7%), $15 million in FY2023 (+50.0%), $10 million in FY2022 (+203.0%) and $3.3 million in FY2021 (-78.8%).
- The Q1 2026 figure marks the lowest quarterly Non Operating Interest Expenses since Q1 2022.
- Compared with a year earlier, Non Operating Interest Expenses has declined for nine straight quarters, with an average decline of 28.8% over the last eight quarters.
- The best year-over-year quarter for Non Operating Interest Expenses over five years was Q4 2022 (growth of 328.6%); the worst was Q2 2021 (a decline of 79.1%).
- Per Business Quant data, AVNS's Non Operating Interest Expenses in the three quarters before Q1 2026 was $1.9 million (Q4 2025), $1.8 million (Q3 2025) and $2 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Avanos Medical | 1.17 Bn | 850.16 Mn | 94.20 Mn | 1.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.50 Mn |
| Dec 31, 2025 | 1.90 Mn |
| Sep 30, 2025 | 1.80 Mn |
| Jun 30, 2025 | 2.00 Mn |
| Mar 31, 2025 | 2.10 Mn |
| Dec 31, 2024 | 2.80 Mn |
| Sep 30, 2024 | 3.20 Mn |
| Jun 30, 2024 | 3.10 Mn |
| Mar 31, 2024 | 3.10 Mn |
| Dec 31, 2023 | 3.30 Mn |
| Sep 30, 2023 | 4.70 Mn |
| Jun 30, 2023 | 3.50 Mn |
| Mar 31, 2023 | 3.50 Mn |
| Dec 31, 2022 | 3.00 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 2.70 Mn |
| Mar 31, 2022 | 1.30 Mn |
| Dec 31, 2021 | 700,000.00 |
| Sep 30, 2021 | 900,000.00 |
| Jun 30, 2021 | 900,000.00 |
Avanos Medical Non Operating 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=non-operating-interest-expenses&ticker=AVNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "AVNS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=AVNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();