Varex Imaging (VREX) Receivables (2016 - 2026)
Varex Imaging (VREX) recorded Receivables of $144.7 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 5.6% from $137 million a year earlier but down 2.3% from the prior quarter.
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Analysis
Varex Imaging (VREX) Receivables (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Varex Imaging reported Receivables of $156.6 million, down 0.7% from FY2024.
- Annual Receivables has declined for three straight fiscal years, though with a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- Across earlier fiscal years, Receivables came in at $157.7 million in FY2024 (-3.6%), $163.6 million in FY2023 (-6.1%), $174.2 million in FY2022 (+12.2%) and $155.3 million in FY2021 (+25.4%).
- Quarterly Receivables has ranged from $127.1 million in fiscal Q1 2022 to $174.2 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Receivables has increased for three consecutive quarters, with an average decline of 0.7% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 25.4% in fiscal Q4 2021, against a decline of 11.8% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $148.1 million (Q2 2026), $146.5 million (Q1 2026) and $156.6 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 11.14 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 8.60 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 3.97 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 1.67 Bn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 6.36 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 3.74 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 3.05 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 2.36 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 955.70 Mn |
| 10 | Varex Imaging | 778.05 Mn | 323.75 Mn | 76.70 Mn | 144.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 144.70 Mn |
| Apr 3, 2026 | 148.10 Mn |
| Jan 2, 2026 | 146.50 Mn |
| Oct 3, 2025 | 156.60 Mn |
| Jul 4, 2025 | 137.00 Mn |
| Apr 4, 2025 | 145.70 Mn |
| Jan 3, 2025 | 138.10 Mn |
| Sep 27, 2024 | 157.70 Mn |
| Jun 28, 2024 | 152.00 Mn |
| Mar 29, 2024 | 151.50 Mn |
| Dec 29, 2023 | 139.60 Mn |
| Sep 29, 2023 | 163.60 Mn |
| Jun 30, 2023 | 163.30 Mn |
| Mar 31, 2023 | 160.40 Mn |
| Dec 30, 2022 | 158.30 Mn |
| Sep 30, 2022 | 174.20 Mn |
| Jul 1, 2022 | 157.80 Mn |
| Apr 1, 2022 | 154.60 Mn |
| Dec 31, 2021 | 127.10 Mn |
| Oct 1, 2021 | 155.30 Mn |
API Access
Varex Imaging Receivables 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=receivables&ticker=VREX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=VREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();