Avanos Medical (AVNS) Total Non-Current Liabilities (2013 - 2026)
Avanos Medical's Total Non-Current Liabilities was $253.9 million in Q1 2026, down 3.8% from $263.9 million a year earlier and down 10.0% from the prior quarter.
Avanos Medical (AVNS) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Avanos Medical came in at $282 million, down 12.2% from FY2024.
- Total Non-Current Liabilities has now declined for three consecutive years, with a five-year compound annual growth rate of -6.7% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $321.3 million in FY2024 (-28.0%), $446.1 million in FY2023 (-6.1%), $475.2 million in FY2022 (+46.7%) and $323.9 million in FY2021 (-19.0%).
- The Q1 2026 figure marks the lowest quarterly Total Non-Current Liabilities since Q3 2016.
- Compared with a year earlier, Total Non-Current Liabilities has declined for seven straight quarters, with an average decline of 21.1% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2022 (growth of 50.9%); the worst was Q2 2025 (a decline of 39.2%).
- Per Business Quant data, AVNS's Total Non-Current Liabilities in the three quarters before Q1 2026 was $282 million (Q4 2025), $269 million (Q3 2025) and $258.4 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Avanos Medical | 1.17 Bn | 850.16 Mn | 94.20 Mn | 253.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 253.90 Mn |
| Dec 31, 2025 | 282.00 Mn |
| Sep 30, 2025 | 269.00 Mn |
| Jun 30, 2025 | 258.40 Mn |
| Mar 31, 2025 | 263.90 Mn |
| Dec 31, 2024 | 321.30 Mn |
| Sep 30, 2024 | 415.90 Mn |
| Jun 30, 2024 | 425.30 Mn |
| Mar 31, 2024 | 422.60 Mn |
| Dec 31, 2023 | 446.10 Mn |
| Sep 30, 2023 | 487.20 Mn |
| Jun 30, 2023 | 416.50 Mn |
| Mar 31, 2023 | 420.70 Mn |
| Dec 31, 2022 | 475.20 Mn |
| Sep 30, 2022 | 483.90 Mn |
| Jun 30, 2022 | 466.10 Mn |
| Mar 31, 2022 | 475.70 Mn |
| Dec 31, 2021 | 323.90 Mn |
| Sep 30, 2021 | 320.70 Mn |
| Jun 30, 2021 | 371.00 Mn |
Avanos Medical Total Non-Current 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-non-current-liabilities&ticker=AVNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AVNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();