Varex Imaging (VREX) Total Liabilities (2016 - 2026)
Varex Imaging's Total Liabilities came in at $589.5 million for fiscal Q3 2026 (quarter ended Jul 3, 2026), down 2.4% from $603.9 million a year earlier and down 2.0% from the prior quarter.
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Analysis
Varex Imaging (VREX) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Varex Imaging's Total Liabilities was $620.8 million, down 7.4% from FY2024.
- Total Liabilities carries a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- Going back by fiscal year, Total Liabilities was $670.4 million in FY2024 (-0.5%), $673.5 million in FY2023 (+4.9%), $641.8 million in FY2022 (-1.4%) and $651 million in FY2021 (-3.4%).
- The fiscal Q3 2026 figure represents the lowest quarterly Total Liabilities since fiscal Q2 2019.
- Year-over-year, Total Liabilities has declined for five consecutive quarters, with an average decline of 3.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in fiscal Q2 2025 (growth of 20.0%), and the weakest in fiscal Q2 2026 (a decline of 24.8%).
- Business Quant data shows VREX's Total Liabilities at $601.3 million (Q2 2026), $607.2 million (Q1 2026) and $620.8 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.65 Bn | 229.68 Bn | 4.88 Bn | 60.49 Bn |
| 2 | Abbott Laboratories | 178.69 Bn | 149.12 Bn | 7.27 Bn | 57.45 Bn |
| 3 | Danaher | 161.79 Bn | 145.60 Bn | 3.61 Bn | 39.78 Bn |
| 4 | Intuitive Surgical | 154.52 Bn | 134.81 Bn | 2.08 Bn | 3.23 Bn |
| 5 | Medtronic | 123.05 Bn | 88.30 Bn | 6.34 Bn | 42.46 Bn |
| 6 | Stryker | 117.21 Bn | 103.33 Bn | 4.50 Bn | 23.94 Bn |
| 7 | Boston Scientific | 67.26 Bn | 62.03 Bn | 3.85 Bn | 20.04 Bn |
| 8 | Becton Dickinson | 54.78 Bn | 51.93 Bn | 2.32 Bn | 26.32 Bn |
| 9 | Edwards Lifesciences | 51.74 Bn | 35.75 Bn | 1.35 Bn | 3.14 Bn |
| 10 | Varex Imaging | 775.38 Mn | 307.18 Mn | 76.70 Mn | 589.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 589.50 Mn |
| Apr 3, 2026 | 601.30 Mn |
| Jan 2, 2026 | 607.20 Mn |
| Oct 3, 2025 | 620.80 Mn |
| Jul 4, 2025 | 603.90 Mn |
| Apr 4, 2025 | 799.70 Mn |
| Jan 3, 2025 | 784.00 Mn |
| Sep 27, 2024 | 670.40 Mn |
| Jun 28, 2024 | 662.30 Mn |
| Mar 29, 2024 | 666.40 Mn |
| Dec 29, 2023 | 659.30 Mn |
| Sep 29, 2023 | 673.50 Mn |
| Jun 30, 2023 | 666.80 Mn |
| Mar 31, 2023 | 657.90 Mn |
| Dec 30, 2022 | 655.90 Mn |
| Sep 30, 2022 | 641.80 Mn |
| Jul 1, 2022 | 635.30 Mn |
| Apr 1, 2022 | 628.20 Mn |
| Dec 31, 2021 | 632.90 Mn |
| Oct 1, 2021 | 651.00 Mn |
API Access
Varex Imaging Total 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-liabilities&ticker=VREX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=VREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();