Artivion (AORT) Total Non-Current Liabilities (2010 - 2026)
Artivion's Total Non-Current Liabilities came in at $554.83 million for Q2 2026, up 51.7% from $365.79 million a year earlier and up 41.6% from the prior quarter.
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Analysis
Artivion (AORT) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Artivion's Total Non-Current Liabilities was $396.67 million, down 13.8% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $460.02 million in FY2024 (+3.0%), $446.73 million in FY2023 (+2.0%), $438.07 million in FY2022 (-1.1%) and $442.92 million in FY2021 (+6.2%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities in data going back to Q4 2010.
- Year-over-year, Total Non-Current Liabilities increased in four of the last eight quarters, with an average decline of 0.2%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q2 2026 (growth of 51.7%), and the weakest in Q2 2025 (a decline of 18.0%).
- Business Quant data shows AORT's Total Non-Current Liabilities at $391.86 million (Q1 2026), $396.67 million (Q4 2025) and $382.43 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | - |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | - |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Artivion | 1.11 Bn | 842.18 Mn | 80.52 Mn | 554.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 554.83 Mn |
| Mar 31, 2026 | 391.86 Mn |
| Dec 31, 2025 | 396.67 Mn |
| Sep 30, 2025 | 382.43 Mn |
| Jun 30, 2025 | 365.79 Mn |
| Mar 31, 2025 | 446.81 Mn |
| Dec 31, 2024 | 460.02 Mn |
| Sep 30, 2024 | 446.69 Mn |
| Jun 30, 2024 | 446.27 Mn |
| Mar 31, 2024 | 442.60 Mn |
| Dec 31, 2023 | 446.73 Mn |
| Sep 30, 2023 | 440.51 Mn |
| Jun 30, 2023 | 439.25 Mn |
| Mar 31, 2023 | 431.96 Mn |
| Dec 31, 2022 | 438.07 Mn |
| Sep 30, 2022 | 442.82 Mn |
| Jun 30, 2022 | 438.96 Mn |
| Mar 31, 2022 | 436.76 Mn |
| Dec 31, 2021 | 442.92 Mn |
| Sep 30, 2021 | 459.81 Mn |
API Access
Artivion 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=AORT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=AORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();