Artivion (AORT) Interest Expenses (2010 - 2026)
Artivion's Interest Expenses was $7.25 million in Q2 2026, down 0.2% from $7.27 million a year earlier but up 35.1% from the prior quarter.
Artivion (AORT) Interest Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Artivion's Interest Expenses was $24.27 million through Jun 30, 2026, down 26.6% year-over-year; for FY2025, it came in at $26.58 million, down 22.4% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $34.28 million in FY2024 (+35.5%), $25.3 million in FY2023 (+38.8%), $18.22 million in FY2022 (+7.8%) and $16.9 million in FY2021 (+1.2%).
- Quarterly Interest Expenses has moved between $3.91 million (Q4 2021) and $9.74 million (Q4 2024) over five years.
- Compared with a year earlier, Interest Expenses has declined for six straight quarters, with an average decline of 4.0% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q4 2024 (growth of 56.0%); the worst was Q4 2025 (a decline of 43.2%).
- Per Business Quant data, AORT's Interest Expenses in the three quarters before Q2 2026 was $5.37 million (Q1 2026), $5.53 million (Q4 2025) and $6.12 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Artivion | 1.11 Bn | 842.67 Mn | 80.52 Mn | 7.25 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.25 Mn |
| Mar 31, 2026 | 5.37 Mn |
| Dec 31, 2025 | 5.53 Mn |
| Sep 30, 2025 | 6.12 Mn |
| Jun 30, 2025 | 7.27 Mn |
| Mar 31, 2025 | 7.66 Mn |
| Dec 31, 2024 | 9.74 Mn |
| Sep 30, 2024 | 8.41 Mn |
| Jun 30, 2024 | 8.30 Mn |
| Mar 31, 2024 | 7.83 Mn |
| Dec 31, 2023 | 6.24 Mn |
| Sep 30, 2023 | 6.60 Mn |
| Jun 30, 2023 | 6.36 Mn |
| Mar 31, 2023 | 6.10 Mn |
| Dec 31, 2022 | 5.37 Mn |
| Sep 30, 2022 | 4.81 Mn |
| Jun 30, 2022 | 4.10 Mn |
| Mar 31, 2022 | 3.95 Mn |
| Dec 31, 2021 | 3.91 Mn |
| Sep 30, 2021 | 4.10 Mn |
Artivion Interest 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=interest-expenses&ticker=AORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=AORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();