Artivion (AORT) Property, Plant & Equipment (Net) (2010 - 2026)
Artivion's Property, Plant & Equipment (Net) came in at $73.7 million for Q2 2026, up 83.9% from $40.09 million a year earlier and up 8.8% from the prior quarter.
Artivion (AORT) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Artivion's Property, Plant & Equipment (Net) was $64.99 million, up 78.5% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 14.5% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $36.4 million in FY2024 (-5.1%), $38.36 million in FY2023 (-0.8%), $38.67 million in FY2022 (+3.1%) and $37.52 million in FY2021 (+13.4%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Year-over-year, Property, Plant & Equipment (Net) has increased for six consecutive quarters, with growth averaging 31.5% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q2 2026 (growth of 83.9%), and the weakest in Q4 2024 (a decline of 5.1%).
- Business Quant data shows AORT's Property, Plant & Equipment (Net) at $67.74 million (Q1 2026), $64.99 million (Q4 2025) and $40.71 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 10.76 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 12.81 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 5.83 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 5.55 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 7.47 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.96 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 4.13 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 1.84 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 6.08 Bn |
| 10 | Artivion | 1.09 Bn | 815.36 Mn | 80.52 Mn | 73.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 73.70 Mn |
| Mar 31, 2026 | 67.74 Mn |
| Dec 31, 2025 | 64.99 Mn |
| Sep 30, 2025 | 40.71 Mn |
| Jun 30, 2025 | 40.09 Mn |
| Mar 31, 2025 | 37.81 Mn |
| Dec 31, 2024 | 36.40 Mn |
| Sep 30, 2024 | 38.26 Mn |
| Jun 30, 2024 | 37.44 Mn |
| Mar 31, 2024 | 37.79 Mn |
| Dec 31, 2023 | 38.36 Mn |
| Sep 30, 2023 | 37.43 Mn |
| Jun 30, 2023 | 38.39 Mn |
| Mar 31, 2023 | 38.72 Mn |
| Dec 31, 2022 | 38.67 Mn |
| Sep 30, 2022 | 36.29 Mn |
| Jun 30, 2022 | 36.27 Mn |
| Mar 31, 2022 | 37.46 Mn |
| Dec 31, 2021 | 37.52 Mn |
| Sep 30, 2021 | 36.97 Mn |
Artivion Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=AORT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=AORT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();