Varex Imaging (VREX) Other Non-Current Liabilities (2016 - 2026)
Varex Imaging's Other Non-Current Liabilities was $46.7 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 19.1% from $39.2 million a year earlier but down 3.1% from the prior quarter.
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Analysis
Varex Imaging (VREX) Other Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Other Non-Current Liabilities at Varex Imaging came in at $38.1 million, down 24.4% from FY2024.
- Other Non-Current Liabilities shows a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- In earlier fiscal years, Other Non-Current Liabilities was $50.4 million in FY2024 (+21.2%), $41.6 million in FY2023 (+23.1%), $33.8 million in FY2022 (+6.3%) and $31.8 million in FY2021 (-8.9%).
- Quarterly Other Non-Current Liabilities has moved between $31.8 million (fiscal Q4 2021) and $50.4 million (fiscal Q4 2024) over five years.
- Compared with a year earlier, Other Non-Current Liabilities has increased for three straight quarters, with growth averaging 4.3% over the last eight quarters.
- The best year-over-year quarter for Other Non-Current Liabilities over five years was fiscal Q3 2023 (growth of 33.6%); the worst was fiscal Q4 2025 (a decline of 24.4%).
- Per Business Quant data, VREX's Other Non-Current Liabilities in the three fiscal quarters before Q3 2026 was $48.2 million (Q2 2026), $49.2 million (Q1 2026) and $38.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.71 Bn | 229.74 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 178.38 Bn | 148.81 Bn | 7.27 Bn |
| 3 | Danaher | 161.61 Bn | 145.42 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 154.15 Bn | 134.44 Bn | 2.08 Bn |
| 5 | Medtronic | 123.21 Bn | 88.46 Bn | 6.34 Bn |
| 6 | Stryker | 117.50 Bn | 103.61 Bn | 4.50 Bn |
| 7 | Boston Scientific | 67.50 Bn | 62.26 Bn | 3.85 Bn |
| 8 | Becton Dickinson | 54.80 Bn | 51.95 Bn | 2.32 Bn |
| 9 | Edwards Lifesciences | 51.78 Bn | 35.79 Bn | 1.35 Bn |
| 10 | Varex Imaging | 775.15 Mn | 306.95 Mn | 76.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 46.70 Mn |
| Apr 3, 2026 | 48.20 Mn |
| Jan 2, 2026 | 49.20 Mn |
| Oct 3, 2025 | 38.10 Mn |
| Jul 4, 2025 | 39.20 Mn |
| Apr 4, 2025 | 39.50 Mn |
| Jan 3, 2025 | 40.50 Mn |
| Sep 27, 2024 | 50.40 Mn |
| Jun 28, 2024 | 43.10 Mn |
| Mar 29, 2024 | 42.10 Mn |
| Dec 29, 2023 | 44.90 Mn |
| Sep 29, 2023 | 41.60 Mn |
| Jun 30, 2023 | 43.70 Mn |
| Mar 31, 2023 | 42.60 Mn |
| Dec 30, 2022 | 39.80 Mn |
| Sep 30, 2022 | 33.80 Mn |
| Jul 1, 2022 | 32.70 Mn |
| Apr 1, 2022 | 33.70 Mn |
| Dec 31, 2021 | 32.00 Mn |
| Oct 1, 2021 | 31.80 Mn |
API Access
Varex Imaging Other 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=other-non-current-liabilities&ticker=VREX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-non-current-liabilities&ticker=VREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();