Artivion (AORT) Total Liabilities (2010 - 2026)
Artivion's Total Liabilities came in at $626.35 million for Q2 2026, up 49.7% from $418.49 million a year earlier and up 44.8% from the prior quarter.
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Analysis
Artivion (AORT) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Artivion's Total Liabilities was $436.56 million, down 14.9% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -1.1% (FY2020 to FY2025).
- Going back by year, Total Liabilities was $512.9 million in FY2024 (+0.4%), $510.62 million in FY2023 (+6.7%), $478.47 million in FY2022 (-2.8%) and $492.32 million in FY2021 (+6.9%).
- The Q2 2026 figure represents the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year-over-year, Total Liabilities increased in three of the last eight quarters, with an average decline of 1.0%.
- The fastest year-over-year change in Total Liabilities over five years came in Q2 2026 (growth of 49.7%), and the weakest in Q3 2025 (a decline of 15.9%).
- Business Quant data shows AORT's Total Liabilities at $432.69 million (Q1 2026), $436.56 million (Q4 2025) and $418.97 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 2.58 Bn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.14 Bn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 26.32 Bn |
| 10 | Artivion | 1.11 Bn | 842.18 Mn | 80.52 Mn | 626.35 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 626.35 Mn |
| Mar 31, 2026 | 432.69 Mn |
| Dec 31, 2025 | 436.56 Mn |
| Sep 30, 2025 | 418.97 Mn |
| Jun 30, 2025 | 418.49 Mn |
| Mar 31, 2025 | 496.91 Mn |
| Dec 31, 2024 | 512.90 Mn |
| Sep 30, 2024 | 498.41 Mn |
| Jun 30, 2024 | 494.48 Mn |
| Mar 31, 2024 | 489.02 Mn |
| Dec 31, 2023 | 510.62 Mn |
| Sep 30, 2023 | 502.81 Mn |
| Jun 30, 2023 | 495.35 Mn |
| Mar 31, 2023 | 477.16 Mn |
| Dec 31, 2022 | 478.47 Mn |
| Sep 30, 2022 | 487.62 Mn |
| Jun 30, 2022 | 483.36 Mn |
| Mar 31, 2022 | 484.36 Mn |
| Dec 31, 2021 | 492.32 Mn |
| Sep 30, 2021 | 507.11 Mn |
API Access
Artivion Total 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-liabilities&ticker=AORT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=AORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();