Anteris Technologies Global (AVR) Total Non-Current Liabilities (2024 - 2026)
Anteris Technologies Global's Total Non-Current Liabilities was $2.48 million in Q2 2026, down 1.2% from $2.51 million a year earlier and down 5.3% from the prior quarter.
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Analysis
Anteris Technologies Global (AVR) Total Non-Current Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Anteris Technologies Global came in at $1.88 million, up 28.8% from FY2024.
- In earlier years, Total Non-Current Liabilities was $1.46 million in FY2024.
- Quarterly Total Non-Current Liabilities has moved between $1.25 million (Q1 2025) and $2.62 million (Q1 2026) over five years.
- Per Business Quant data, AVR's Total Non-Current Liabilities in the three quarters before Q2 2026 was $2.62 million (Q1 2026), $1.88 million (Q4 2025) and $2.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 258.66 Bn | 237.68 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 172.25 Bn | 142.68 Bn | 7.27 Bn | - |
| 3 | Danaher | 163.69 Bn | 147.49 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 152.41 Bn | 131.83 Bn | 1.96 Bn | - |
| 5 | Medtronic | 119.51 Bn | 84.76 Bn | 6.34 Bn | 38.93 Bn |
| 6 | Stryker | 113.97 Bn | 100.09 Bn | 4.50 Bn | 20.88 Bn |
| 7 | Boston Scientific | 65.25 Bn | 60.02 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Becton Dickinson | 53.52 Bn | 50.67 Bn | 2.32 Bn | 23.92 Bn |
| 9 | Edwards Lifesciences | 50.90 Bn | 34.90 Bn | 1.35 Bn | 2.19 Bn |
| 10 | Anteris Technologies Global | 597.67 Mn | 340.28 Mn | 776,000.00 | 2.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.48 Mn |
| Mar 31, 2026 | 2.62 Mn |
| Dec 31, 2025 | 1.88 Mn |
| Sep 30, 2025 | 2.28 Mn |
| Jun 30, 2025 | 2.51 Mn |
| Mar 31, 2025 | 1.25 Mn |
| Dec 31, 2024 | 1.46 Mn |
API Access
Anteris Technologies Global 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=AVR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AVR", "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=AVR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();