Avanos Medical (AVNS) Total Liabilities (2013 - 2026)
Avanos Medical (AVNS) posted Total Liabilities of $268 million for Q1 2026, down 0.1% from $268.4 million a year earlier and down 9.3% from the prior quarter.
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Analysis
Avanos Medical (AVNS) Total Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Avanos Medical's Total Liabilities came in at $295.5 million, down 9.3% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- In prior years, Avanos Medical's Total Liabilities was $325.7 million in FY2024 (-28.6%), $456.1 million in FY2023 (-8.0%), $495.7 million in FY2022 (+48.9%) and $333 million in FY2021 (-18.9%).
- Quarterly Total Liabilities has run from a low of $262.7 million in Q2 2025 to a high of $511.7 million in Q3 2022 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last seven quarters, with an average decline of 20.3% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 54.7%; the weakest was Q2 2025, with a decline of 39.7%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $295.5 million (Q4 2025), $289.7 million (Q3 2025) and $262.7 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Avanos Medical | 1.17 Bn | 850.16 Mn | 94.20 Mn | 268.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 268.00 Mn |
| Dec 31, 2025 | 295.50 Mn |
| Sep 30, 2025 | 289.70 Mn |
| Jun 30, 2025 | 262.70 Mn |
| Mar 31, 2025 | 268.40 Mn |
| Dec 31, 2024 | 325.70 Mn |
| Sep 30, 2024 | 426.50 Mn |
| Jun 30, 2024 | 435.80 Mn |
| Mar 31, 2024 | 433.40 Mn |
| Dec 31, 2023 | 456.10 Mn |
| Sep 30, 2023 | 502.80 Mn |
| Jun 30, 2023 | 431.90 Mn |
| Mar 31, 2023 | 436.20 Mn |
| Dec 31, 2022 | 495.70 Mn |
| Sep 30, 2022 | 511.70 Mn |
| Jun 30, 2022 | 493.80 Mn |
| Mar 31, 2022 | 503.70 Mn |
| Dec 31, 2021 | 333.00 Mn |
| Sep 30, 2021 | 330.80 Mn |
| Jun 30, 2021 | 381.60 Mn |
API Access
Avanos Medical Total 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-liabilities&ticker=AVNS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=AVNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();