Varex Imaging (VREX) Cash from Operations (2016 - 2026)
Varex Imaging's Cash from Operations came in at $21 million for fiscal Q3 2026 (quarter ended Jul 3, 2026), up 172.7% from $7.7 million a year earlier.
Varex Imaging (VREX) Cash from Operations (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jul 3, 2026, Varex Imaging reported Cash from Operations of $11.3 million, down 81.1% year-over-year; for FY2025 (ended Oct 3, 2025), it was $41.7 million, down 11.8% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 25.9% (FY2020 to FY2025).
- Going back by fiscal year, Cash from Operations was $47.3 million in FY2024 (-56.4%), $108.4 million in FY2023 (+541.4%), $16.9 million in FY2022 (-81.7%) and $92.6 million in FY2021 (+601.5%).
- The fiscal Q3 2026 figure represents the highest quarterly Cash from Operations since fiscal Q4 2024.
- Year-over-year, Cash from Operations increased in two of the last six quarters, with growth averaging 80.4%.
- The fastest year-over-year change in Cash from Operations over five years came in fiscal Q2 2025 (growth of 435.5%), and the weakest in fiscal Q2 2024 (a decline of 88.6%).
- Business Quant data shows VREX's Cash from Operations at -$1.5 million (Q2 2026), -$16.1 million (Q1 2026) and $7.9 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 2.13 Bn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 2.49 Bn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 1.53 Bn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 1.06 Bn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 1.79 Bn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 1.26 Bn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 1.47 Bn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 651.90 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 776.00 Mn |
| 10 | Varex Imaging | 777.63 Mn | 323.33 Mn | 76.70 Mn | 21.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 21.00 Mn |
| Apr 3, 2026 | -1.50 Mn |
| Jan 2, 2026 | -16.10 Mn |
| Oct 3, 2025 | 7.90 Mn |
| Jul 4, 2025 | 7.70 Mn |
| Apr 4, 2025 | 16.60 Mn |
| Jan 3, 2025 | 9.50 Mn |
| Sep 27, 2024 | 25.90 Mn |
| Jun 28, 2024 | 8.00 Mn |
| Mar 29, 2024 | 3.10 Mn |
| Dec 29, 2023 | 10.30 Mn |
| Sep 29, 2023 | 47.10 Mn |
| Jun 30, 2023 | 37.70 Mn |
| Mar 31, 2023 | 27.30 Mn |
| Dec 30, 2022 | -3.70 Mn |
| Sep 30, 2022 | 17.10 Mn |
| Jul 1, 2022 | -2.70 Mn |
| Apr 1, 2022 | -8.30 Mn |
| Dec 31, 2021 | 10.80 Mn |
| Oct 1, 2021 | 50.60 Mn |
Varex Imaging Cash from Operations 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-from-operations&ticker=VREX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=VREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();