Varex Imaging (VREX) Change in Accured Expenses (2016 - 2026)
Varex Imaging (VREX) recorded Change in Accured Expenses of $9.5 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), compared with $300,000 a year earlier.
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Analysis
Varex Imaging (VREX) Change in Accured Expenses (2016 - 2026) Analysis & Trends
On a TTM basis, Varex Imaging's Change in Accured Expenses came in at -$9.2 million as of Jul 3, 2026; for FY2025 (ended Oct 3, 2025), it was $100,000.
- Annual Change in Accured Expenses has a five-year compound annual growth rate of -58.5% (FY2020 to FY2025).
- Across earlier fiscal years, Change in Accured Expenses came in at -$9.1 million in FY2024, -$1 million in FY2023, -$14.9 million in FY2022 and $12.2 million in FY2021 (+50.6%).
- Quarterly Change in Accured Expenses has ranged from -$30.5 million in fiscal Q1 2022 to $12.3 million in fiscal Q2 2022 over the past five years.
- Peak year-over-year performance for Change in Accured Expenses in the last five years was growth of 55.7% in fiscal Q2 2022, against a decline of 60.7% in fiscal Q2 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -$6.4 million (Q2 2026), -$23.8 million (Q1 2026) and $11.5 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | - |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | -249.00 Mn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 55.00 Mn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 298.00 Mn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 234.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 123.70 Mn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | - |
| 10 | Varex Imaging | 778.05 Mn | 323.75 Mn | 76.70 Mn | 9.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 9.50 Mn |
| Apr 3, 2026 | -6.40 Mn |
| Jan 2, 2026 | -23.80 Mn |
| Oct 3, 2025 | 11.50 Mn |
| Jul 4, 2025 | 300,000.00 |
| Apr 4, 2025 | 4.70 Mn |
| Jan 3, 2025 | -16.40 Mn |
| Sep 27, 2024 | 10.10 Mn |
| Jun 28, 2024 | -2.00 Mn |
| Mar 29, 2024 | 4.80 Mn |
| Dec 29, 2023 | -22.00 Mn |
| Sep 29, 2023 | 11.50 Mn |
| Jun 30, 2023 | 700,000.00 |
| Mar 31, 2023 | 12.20 Mn |
| Dec 30, 2022 | -25.40 Mn |
| Sep 30, 2022 | 7.90 Mn |
| Jul 1, 2022 | -4.60 Mn |
| Apr 1, 2022 | 12.30 Mn |
| Dec 31, 2021 | -30.50 Mn |
| Oct 1, 2021 | 11.00 Mn |
API Access
Varex Imaging Change in Accured Expenses 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=change-in-accured-expenses&ticker=VREX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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=change-in-accured-expenses&ticker=VREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();