Avanos Medical (AVNS) Operating Expenses (2013 - 2026)
Avanos Medical (AVNS) posted Operating Expenses of $82.9 million for Q1 2026, up 2.2% from $81.1 million a year earlier but down 2.4% from the prior quarter.
Powered by 
Analysis
Avanos Medical (AVNS) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Operating Expenses at Avanos Medical was $340.7 million, up 1.6% year-over-year; for FY2025, it came in at $338.9 million, down 1.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- In prior years, Avanos Medical's Operating Expenses was $344.7 million in FY2024 (-4.8%), $362.2 million in FY2023 (+1.8%), $355.7 million in FY2022 (+12.6%) and $315.9 million in FY2021 (-14.0%).
- Quarterly Operating Expenses has run from a low of $66.1 million in Q4 2021 to a high of $99.8 million in Q2 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 1.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 30.0%; the weakest was Q4 2021, with a decline of 28.0%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $84.9 million (Q4 2025), $83.6 million (Q3 2025) and $89.3 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Avanos Medical | 1.17 Bn | 850.16 Mn | 94.20 Mn | 82.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 82.90 Mn |
| Dec 31, 2025 | 84.90 Mn |
| Sep 30, 2025 | 83.60 Mn |
| Jun 30, 2025 | 89.30 Mn |
| Mar 31, 2025 | 81.10 Mn |
| Dec 31, 2024 | 85.40 Mn |
| Sep 30, 2024 | 81.50 Mn |
| Jun 30, 2024 | 87.20 Mn |
| Mar 31, 2024 | 90.60 Mn |
| Dec 31, 2023 | 81.30 Mn |
| Sep 30, 2023 | 84.80 Mn |
| Jun 30, 2023 | 99.80 Mn |
| Mar 31, 2023 | 96.30 Mn |
| Dec 31, 2022 | 85.90 Mn |
| Sep 30, 2022 | 85.40 Mn |
| Jun 30, 2022 | 90.80 Mn |
| Mar 31, 2022 | 97.90 Mn |
| Dec 31, 2021 | 66.10 Mn |
| Sep 30, 2021 | 83.40 Mn |
| Jun 30, 2021 | 84.70 Mn |
API Access
Avanos Medical Operating 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=operating-expenses&ticker=AVNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=AVNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();