Artivion (AORT) Capital Expenditures (2010 - 2026)
Artivion's Capital Expenditures was $10.75 million in Q2 2026, up 227.0% from $3.29 million a year earlier and up 34.3% from the prior quarter.
Artivion (AORT) Capital Expenditures (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Artivion's Capital Expenditures was $50.87 million through Jun 30, 2026, up 324.3% year-over-year; for FY2025, it was $39.04 million, up 249.0% from FY2024.
- Capital Expenditures shows a five-year compound annual growth rate of 39.7% (FY2020 to FY2025).
- In earlier years, Capital Expenditures was $11.19 million in FY2024 (+14.7%), $9.75 million in FY2023 (-9.0%), $10.72 million in FY2022 (-18.1%) and $13.09 million in FY2021 (+78.6%).
- Quarterly Capital Expenditures has moved between $1.43 million (Q4 2024) and $27.51 million (Q4 2025) over five years.
- Compared with a year earlier, Capital Expenditures was higher in six of the last seven quarters, with growth averaging 62.1%.
- The best year-over-year quarter for Capital Expenditures over five years was Q2 2026 (growth of 227.0%); the worst was Q2 2022 (a decline of 68.4%).
- Per Business Quant data, AORT's Capital Expenditures in the three quarters before Q2 2026 was $8 million (Q1 2026), $27.51 million (Q4 2025) and $4.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 450.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 497.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 269.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 112.60 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 503.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 202.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 195.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 66.90 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 143.00 Mn |
| 10 | Artivion | 1.11 Bn | 842.18 Mn | 80.52 Mn | 10.75 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.75 Mn |
| Mar 31, 2026 | 8.00 Mn |
| Dec 31, 2025 | 27.51 Mn |
| Sep 30, 2025 | 4.61 Mn |
| Jun 30, 2025 | 3.29 Mn |
| Mar 31, 2025 | 3.64 Mn |
| Dec 31, 2024 | 1.43 Mn |
| Sep 30, 2024 | 3.64 Mn |
| Jun 30, 2024 | 2.51 Mn |
| Mar 31, 2024 | 3.61 Mn |
| Dec 31, 2023 | 2.67 Mn |
| Sep 30, 2023 | 2.07 Mn |
| Jun 30, 2023 | 2.17 Mn |
| Mar 31, 2023 | 2.84 Mn |
| Dec 31, 2022 | 3.79 Mn |
| Sep 30, 2022 | 2.87 Mn |
| Jun 30, 2022 | 1.82 Mn |
| Mar 31, 2022 | 2.24 Mn |
| Dec 31, 2021 | 2.57 Mn |
| Sep 30, 2021 | 3.28 Mn |
Artivion Capital Expenditures 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=capital-expenditures&ticker=AORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=AORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();