Artivion (AORT) Non-Current Assets (2010 - 2026)
Artivion's Non-Current Assets was $700.55 million in Q2 2026, up 34.8% from $519.57 million a year earlier and up 33.3% from the prior quarter.
Analysis
Artivion (AORT) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Non-Current Assets at Artivion came in at $526.71 million, up 5.5% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- In earlier years, Non-Current Assets was $499.02 million in FY2024 (-2.5%), $511.73 million in FY2023 (-0.7%), $515.46 million in FY2022 (-5.5%) and $545.36 million in FY2021 (-1.7%).
- The Q2 2026 figure marks the highest quarterly Non-Current Assets in data going back to Q4 2010.
- Compared with a year earlier, Non-Current Assets has increased for five straight quarters, with growth averaging 5.9% over the last eight quarters.
- The best year-over-year quarter for Non-Current Assets over five years was Q2 2026 (growth of 34.8%); the worst was Q3 2022 (a decline of 10.1%).
- Per Business Quant data, AORT's Non-Current Assets in the three quarters before Q2 2026 was $525.64 million (Q1 2026), $526.71 million (Q4 2025) and $520.16 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 7.05 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 42.59 Bn |
| 10 | Artivion | 1.11 Bn | 842.18 Mn | 80.52 Mn | 700.55 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 700.55 Mn |
| Mar 31, 2026 | 525.64 Mn |
| Dec 31, 2025 | 526.71 Mn |
| Sep 30, 2025 | 520.16 Mn |
| Jun 30, 2025 | 519.57 Mn |
| Mar 31, 2025 | 503.87 Mn |
| Dec 31, 2024 | 499.02 Mn |
| Sep 30, 2024 | 515.19 Mn |
| Jun 30, 2024 | 504.58 Mn |
| Mar 31, 2024 | 507.22 Mn |
| Dec 31, 2023 | 511.73 Mn |
| Sep 30, 2023 | 507.68 Mn |
| Jun 30, 2023 | 513.96 Mn |
| Mar 31, 2023 | 516.39 Mn |
| Dec 31, 2022 | 515.46 Mn |
| Sep 30, 2022 | 504.74 Mn |
| Jun 30, 2022 | 524.44 Mn |
| Mar 31, 2022 | 537.32 Mn |
| Dec 31, 2021 | 545.36 Mn |
| Sep 30, 2021 | 561.31 Mn |
API Access
Artivion Non-Current Assets 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=non-current-assets&ticker=AORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "AORT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=AORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();