Avanos Medical (AVNS) Accumulated Expenses (2013 - 2026)
Avanos Medical's Accumulated Expenses came in at $57.6 million for Q1 2026, down 19.3% from $71.4 million a year earlier and down 36.9% from the prior quarter.
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Analysis
Avanos Medical (AVNS) Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Avanos Medical's Accumulated Expenses was $91.3 million, unchanged from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 1.9% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $91.3 million in FY2024 (-2.0%), $93.2 million in FY2023 (-4.7%), $97.8 million in FY2022 (+43.6%) and $68.1 million in FY2021 (-18.1%).
- The Q1 2026 figure represents the lowest quarterly Accumulated Expenses in data going back to Q4 2013.
- Year-over-year, Accumulated Expenses increased in 1 of the last eight quarters, with an average decline of 7.3%.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q4 2022 (growth of 43.6%), and the weakest in Q3 2021 (a decline of 32.2%).
- Business Quant data shows AVNS's Accumulated Expenses at $91.3 million (Q4 2025), $74.8 million (Q3 2025) and $66 million (Q2 2025) in the three quarters before Q1 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn |
| 10 | Avanos Medical | 1.17 Bn | 850.16 Mn | 94.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 57.60 Mn |
| Dec 31, 2025 | 91.30 Mn |
| Sep 30, 2025 | 74.80 Mn |
| Jun 30, 2025 | 66.00 Mn |
| Mar 31, 2025 | 71.40 Mn |
| Dec 31, 2024 | 91.30 Mn |
| Sep 30, 2024 | 82.70 Mn |
| Jun 30, 2024 | 79.50 Mn |
| Mar 31, 2024 | 75.10 Mn |
| Dec 31, 2023 | 93.20 Mn |
| Sep 30, 2023 | 97.20 Mn |
| Jun 30, 2023 | 72.70 Mn |
| Mar 31, 2023 | 80.60 Mn |
| Dec 31, 2022 | 97.80 Mn |
| Sep 30, 2022 | 80.00 Mn |
| Jun 30, 2022 | 68.70 Mn |
| Mar 31, 2022 | 74.60 Mn |
| Dec 31, 2021 | 68.10 Mn |
| Sep 30, 2021 | 59.60 Mn |
| Jun 30, 2021 | 77.90 Mn |
API Access
Avanos Medical Accumulated 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=accumulated-expenses&ticker=AVNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=AVNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();