Varex Imaging (VREX) Operating Expenses (2016 - 2026)
Varex Imaging's Operating Expenses was $53.9 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), down 63.6% from $148.2 million a year earlier and down 7.4% from the prior quarter.
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Analysis
Varex Imaging (VREX) Operating Expenses (2016 - 2026) Analysis & Trends
On a trailing twelve-month basis, Varex Imaging's Operating Expenses was $224.7 million through Jul 3, 2026, down 29.0% year-over-year; for FY2025 (ended Oct 3, 2025), it was $318.3 million, up 41.6% from FY2024.
- Operating Expenses has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- In earlier fiscal years, Operating Expenses was $224.8 million in FY2024 (+5.4%), $213.2 million in FY2023 (+9.2%), $195.3 million in FY2022 (-1.1%) and $197.4 million in FY2021 (-11.8%).
- The fiscal Q3 2026 figure marks the lowest quarterly Operating Expenses since fiscal Q1 2024.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 13.2%.
- The best year-over-year quarter for Operating Expenses over five years was fiscal Q3 2025 (growth of 157.3%); the worst was fiscal Q3 2026 (a decline of 63.6%).
- Per Business Quant data, VREX's Operating Expenses in the three fiscal quarters before Q3 2026 was $58.2 million (Q2 2026), $54.4 million (Q1 2026) and $58.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 9.91 Bn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 10.90 Bn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | 2.48 Bn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 988.50 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | 4.06 Bn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | 2.84 Bn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 2.67 Bn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 840.10 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 4.32 Bn |
| 10 | Varex Imaging | 778.47 Mn | 324.17 Mn | 76.70 Mn | 53.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 53.90 Mn |
| Apr 3, 2026 | 58.20 Mn |
| Jan 2, 2026 | 54.40 Mn |
| Oct 3, 2025 | 58.20 Mn |
| Jul 4, 2025 | 148.20 Mn |
| Apr 4, 2025 | 54.60 Mn |
| Jan 3, 2025 | 57.30 Mn |
| Sep 27, 2024 | 56.20 Mn |
| Jun 28, 2024 | 57.60 Mn |
| Mar 29, 2024 | 58.10 Mn |
| Dec 29, 2023 | 52.90 Mn |
| Sep 29, 2023 | 53.70 Mn |
| Jun 30, 2023 | 52.10 Mn |
| Mar 31, 2023 | 57.10 Mn |
| Dec 30, 2022 | 50.30 Mn |
| Sep 30, 2022 | 49.90 Mn |
| Jul 1, 2022 | 50.40 Mn |
| Apr 1, 2022 | 44.20 Mn |
| Dec 31, 2021 | 50.80 Mn |
| Oct 1, 2021 | 49.10 Mn |
API Access
Varex Imaging Operating 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=operating-expenses&ticker=VREX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=VREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();