Varex Imaging (VREX) Total Non-Current Liabilities (2016 - 2026)
Varex Imaging (VREX) reported Total Non-Current Liabilities of $542.8 million for fiscal Q3 2026 (quarter ended Jul 3, 2026), down 3.9% from $564.7 million a year earlier and down 1.9% from the prior quarter.
Varex Imaging (VREX) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Varex Imaging posted Total Non-Current Liabilities of $582.7 million, down 6.0% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of -1.8% (FY2020 to FY2025).
- By fiscal year, Total Non-Current Liabilities came in at $620 million in FY2024 (-1.9%), $631.9 million in FY2023 (+3.9%), $608 million in FY2022 (-1.8%) and $619.2 million in FY2021 (-3.1%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since fiscal Q2 2019.
- Year over year, Total Non-Current Liabilities has now declined in each of the last five quarters, with an average decline of 3.7% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was fiscal Q2 2025 (growth of 21.8%); the low point was fiscal Q2 2026 (a decline of 27.2%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $553.1 million (Q2 2026), $558 million (Q1 2026) and $582.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 55.95 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | - |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 33.25 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 40.46 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 21.28 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 17.56 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 2.57 Bn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 23.92 Bn |
| 10 | Varex Imaging | 777.63 Mn | 323.33 Mn | 76.70 Mn | 542.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 542.80 Mn |
| Apr 3, 2026 | 553.10 Mn |
| Jan 2, 2026 | 558.00 Mn |
| Oct 3, 2025 | 582.70 Mn |
| Jul 4, 2025 | 564.70 Mn |
| Apr 4, 2025 | 760.20 Mn |
| Jan 3, 2025 | 743.50 Mn |
| Sep 27, 2024 | 620.00 Mn |
| Jun 28, 2024 | 619.20 Mn |
| Mar 29, 2024 | 624.30 Mn |
| Dec 29, 2023 | 614.40 Mn |
| Sep 29, 2023 | 631.90 Mn |
| Jun 30, 2023 | 623.10 Mn |
| Mar 31, 2023 | 615.30 Mn |
| Dec 30, 2022 | 616.10 Mn |
| Sep 30, 2022 | 608.00 Mn |
| Jul 1, 2022 | 602.60 Mn |
| Apr 1, 2022 | 594.50 Mn |
| Dec 31, 2021 | 600.90 Mn |
| Oct 1, 2021 | 619.20 Mn |
Varex Imaging Total Non-Current 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-non-current-liabilities&ticker=VREX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=VREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();