Anteris Technologies Global (AVR) EBITDA (2024 - 2026)
Anteris Technologies Global (AVR) posted EBITDA of -$30.53 million for Q2 2026, compared with -$20.47 million a year earlier.
Anteris Technologies Global (AVR) EBITDA (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Anteris Technologies Global was -$104.5 million; for FY2025, it was -$92.23 million.
- In prior years, Anteris Technologies Global's EBITDA was -$76.87 million in FY2024.
- The Q2 2026 figure stands as the lowest quarterly EBITDA in data going back to Q1 2024.
- According to Business Quant data, EBITDA for the three prior quarters was -$23.58 million (Q1 2026), -$28.54 million (Q4 2025) and -$21.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 2.90 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 2.75 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 1.79 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 1.19 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 2.49 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 1.96 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 1.53 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 1.23 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 555.90 Mn |
| 10 | Anteris Technologies Global | 584.04 Mn | 326.66 Mn | 776,000.00 | -30.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -30.53 Mn |
| Mar 31, 2026 | -23.58 Mn |
| Dec 31, 2025 | -28.54 Mn |
| Sep 30, 2025 | -21.85 Mn |
| Jun 30, 2025 | -20.47 Mn |
| Mar 31, 2025 | -21.38 Mn |
| Dec 31, 2024 | -21.12 Mn |
| Sep 30, 2024 | -20.22 Mn |
| Jun 30, 2024 | -18.09 Mn |
| Mar 31, 2024 | -17.44 Mn |
Anteris Technologies Global EBITDA 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=ebitda&ticker=AVR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=AVR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();