Anteris Technologies Global (AVR) Accumulated Expenses (2024 - 2026)
Anteris Technologies Global's Accumulated Expenses came in at $12.23 million for Q2 2026, up 78.0% from $6.87 million a year earlier and up 42.4% from the prior quarter.
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Analysis
Anteris Technologies Global (AVR) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025, Anteris Technologies Global's Accumulated Expenses was $9.7 million, down 2.3% from FY2024.
- Going back by year, Accumulated Expenses was $9.92 million in FY2024.
- Business Quant data shows AVR's Accumulated Expenses at $8.59 million (Q1 2026), $9.7 million (Q4 2025) and $8.44 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn |
| 10 | Anteris Technologies Global | 574.24 Mn | 36.77 Mn | 393,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.87 Mn |
| Jun 30, 2026 | 12.23 Mn |
| Mar 31, 2026 | 8.59 Mn |
| Dec 31, 2025 | 9.70 Mn |
| Sep 30, 2025 | 8.44 Mn |
| Jun 30, 2025 | 6.87 Mn |
| Mar 31, 2025 | 7.49 Mn |
| Dec 31, 2024 | 9.92 Mn |
API Access
Anteris Technologies Global 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=AVR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=AVR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();