Varex Imaging (VREX) Cash & Equivalents (2016 - 2026)
Varex Imaging (VREX) reported Cash & Equivalents of $99.2 million for fiscal Q3 2026 (quarter ended Jul 3, 2026), down 27.3% from $136.4 million a year earlier but up 16.3% from the prior quarter.
Varex Imaging (VREX) Cash & Equivalents (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Varex Imaging posted Cash & Equivalents of $145 million, down 14.0% from FY2024.
- Cash & Equivalents has a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- By fiscal year, Cash & Equivalents came in at $168.7 million in FY2024 (+10.6%), $152.6 million in FY2023 (+70.7%), $89.4 million in FY2022 (-38.2%) and $144.6 million in FY2021 (+43.7%).
- Five-year quarterly Cash & Equivalents spans a low of $81.5 million in fiscal Q1 2023 and a high of $205.1 million in fiscal Q2 2025.
- Year over year, Cash & Equivalents has now declined in each of the last five quarters, with an average decline of 8.1% over the last eight quarters.
- The high point for year-over-year Cash & Equivalents in five years was fiscal Q1 2024 (growth of 73.4%); the low point was fiscal Q2 2026 (a decline of 58.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $85.3 million (Q2 2026), $119.5 million (Q1 2026) and $145 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn | 4.06 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn | 5.10 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn | 4.35 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn | 2.76 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn | 1.69 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn | 3.39 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn | 539.00 Mn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn | 2.91 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn | 708.00 Mn |
| 10 | Varex Imaging | 778.05 Mn | 323.75 Mn | 76.70 Mn | 99.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 99.20 Mn |
| Apr 3, 2026 | 85.30 Mn |
| Jan 2, 2026 | 119.50 Mn |
| Oct 3, 2025 | 145.00 Mn |
| Jul 4, 2025 | 136.40 Mn |
| Apr 4, 2025 | 205.10 Mn |
| Jan 3, 2025 | 176.00 Mn |
| Sep 27, 2024 | 168.70 Mn |
| Jun 28, 2024 | 156.40 Mn |
| Mar 29, 2024 | 141.80 Mn |
| Dec 29, 2023 | 141.30 Mn |
| Sep 29, 2023 | 152.60 Mn |
| Jun 30, 2023 | 118.50 Mn |
| Mar 31, 2023 | 104.40 Mn |
| Dec 30, 2022 | 81.50 Mn |
| Sep 30, 2022 | 89.40 Mn |
| Jul 1, 2022 | 99.60 Mn |
| Apr 1, 2022 | 115.10 Mn |
| Dec 31, 2021 | 157.80 Mn |
| Oct 1, 2021 | 144.60 Mn |
Varex Imaging Cash & Equivalents 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=cash-and-equivalents&ticker=VREX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=VREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();