Varex Imaging (VREX) Non-Current Assets (2016 - 2026)
Varex Imaging's Non-Current Assets was $466.9 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 2.9% from $453.9 million a year earlier and up 0.7% from the prior quarter.
Varex Imaging (VREX) Non-Current Assets (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Non-Current Assets at Varex Imaging came in at $465.6 million, down 17.4% from FY2024.
- Non-Current Assets shows a five-year compound annual growth rate of -5.5% (FY2020 to FY2025).
- In earlier fiscal years, Non-Current Assets was $563.7 million in FY2024 (-4.7%), $591.3 million in FY2023 (+2.9%), $574.5 million in FY2022 (-3.2%) and $593.3 million in FY2021 (-3.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Non-Current Assets since fiscal Q2 2025.
- Compared with a year earlier, Non-Current Assets was higher in three of the last eight quarters, with an average decline of 10.1%.
- The best year-over-year quarter for Non-Current Assets over five years was fiscal Q1 2025 (growth of 13.2%); the worst was fiscal Q1 2026 (a decline of 31.2%).
- Per Business Quant data, VREX's Non-Current Assets in the three fiscal quarters before Q3 2026 was $463.8 million (Q2 2026), $464.4 million (Q1 2026) and $465.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 89.81 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 84.70 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 78.99 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 11.33 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 68.92 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 33.51 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 37.24 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 42.59 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 7.05 Bn |
| 10 | Varex Imaging | 775.48 Mn | 307.28 Mn | 76.70 Mn | 466.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 466.90 Mn |
| Apr 3, 2026 | 463.80 Mn |
| Jan 2, 2026 | 464.40 Mn |
| Oct 3, 2025 | 465.60 Mn |
| Jul 4, 2025 | 453.90 Mn |
| Apr 4, 2025 | 673.80 Mn |
| Jan 3, 2025 | 675.30 Mn |
| Sep 27, 2024 | 563.70 Mn |
| Jun 28, 2024 | 603.40 Mn |
| Mar 29, 2024 | 599.80 Mn |
| Dec 29, 2023 | 596.60 Mn |
| Sep 29, 2023 | 591.30 Mn |
| Jun 30, 2023 | 573.20 Mn |
| Mar 31, 2023 | 572.40 Mn |
| Dec 30, 2022 | 573.60 Mn |
| Sep 30, 2022 | 574.50 Mn |
| Jul 1, 2022 | 570.00 Mn |
| Apr 1, 2022 | 573.40 Mn |
| Dec 31, 2021 | 581.10 Mn |
| Oct 1, 2021 | 593.30 Mn |
Varex Imaging Non-Current Assets 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=non-current-assets&ticker=VREX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "VREX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=VREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();