Varex Imaging (VREX) Accumulated Expenses (2016 - 2026)
Varex Imaging's Accumulated Expenses was $72.6 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), down 15.6% from $86 million a year earlier but up 18.8% from the prior quarter.
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Analysis
Varex Imaging (VREX) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Accumulated Expenses at Varex Imaging came in at $98.4 million, up 25.2% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $78.6 million in FY2024 (-4.8%), $82.6 million in FY2023 (+1.5%), $81.4 million in FY2022 (-9.3%) and $89.7 million in FY2021 (+27.2%).
- Quarterly Accumulated Expenses has moved between $56 million (fiscal Q1 2023) and $98.4 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Accumulated Expenses has declined for three straight quarters, with growth averaging 4.2% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q3 2025 (growth of 28.4%); the worst was fiscal Q2 2026 (a decline of 26.4%).
- Per Business Quant data, VREX's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $61.1 million (Q2 2026), $65.7 million (Q1 2026) and $98.4 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 | 72.60 Mn |
| Apr 3, 2026 | 61.10 Mn |
| Jan 2, 2026 | 65.70 Mn |
| Oct 3, 2025 | 98.40 Mn |
| Jul 4, 2025 | 86.00 Mn |
| Apr 4, 2025 | 83.00 Mn |
| Jan 3, 2025 | 70.40 Mn |
| Sep 27, 2024 | 78.60 Mn |
| Jun 28, 2024 | 67.00 Mn |
| Mar 29, 2024 | 69.40 Mn |
| Dec 29, 2023 | 61.60 Mn |
| Sep 29, 2023 | 82.60 Mn |
| Jun 30, 2023 | 67.90 Mn |
| Mar 31, 2023 | 66.90 Mn |
| Dec 30, 2022 | 56.00 Mn |
| Sep 30, 2022 | 81.40 Mn |
| Jul 1, 2022 | 70.40 Mn |
| Apr 1, 2022 | 72.80 Mn |
| Dec 31, 2021 | 61.00 Mn |
| Oct 1, 2021 | 89.70 Mn |
API Access
Varex Imaging Accumulated 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=accumulated-expenses&ticker=VREX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();