Varex Imaging (VREX) Payables (2016 - 2026)
Varex Imaging's Payables was $83.5 million in fiscal Q3 2026 (quarter ended Jul 3, 2026), up 18.1% from $70.7 million a year earlier but down 13.4% from the prior quarter.
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Analysis
Varex Imaging (VREX) Payables (2016 - 2026) Analysis & Trends
At the end of FY2025 (ended Oct 3, 2025), Payables at Varex Imaging came in at $69.9 million, up 18.3% from FY2024.
- Payables shows a five-year compound annual growth rate of -0.8% (FY2020 to FY2025).
- In earlier fiscal years, Payables was $59.1 million in FY2024 (-8.7%), $64.7 million in FY2023 (-17.3%), $78.2 million in FY2022 (+33.0%) and $58.8 million in FY2021 (-19.3%).
- Quarterly Payables has moved between $58.8 million (fiscal Q4 2021) and $96.4 million (fiscal Q2 2026) over five years.
- Compared with a year earlier, Payables has increased for six straight quarters, with growth averaging 9.6% over the last eight quarters.
- The best year-over-year quarter for Payables over five years was fiscal Q2 2022 (growth of 52.1%); the worst was fiscal Q4 2021 (a decline of 19.3%).
- Per Business Quant data, VREX's Payables in the three fiscal quarters before Q3 2026 was $96.4 million (Q2 2026), $78.9 million (Q1 2026) and $69.9 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 250.84 Bn | 229.99 Bn | 4.88 Bn | 3.27 Bn |
| 2 | Abbott Laboratories | 174.73 Bn | 145.82 Bn | 7.27 Bn | 5.89 Bn |
| 3 | Danaher | 159.85 Bn | 143.67 Bn | 3.61 Bn | 1.82 Bn |
| 4 | Intuitive Surgical | 146.79 Bn | 126.35 Bn | 1.96 Bn | 277.20 Mn |
| 5 | Medtronic | 114.54 Bn | 80.41 Bn | 6.34 Bn | 2.70 Bn |
| 6 | Stryker | 105.67 Bn | 91.79 Bn | 4.50 Bn | 2.00 Bn |
| 7 | Boston Scientific | 63.93 Bn | 58.94 Bn | 3.85 Bn | 1.23 Bn |
| 8 | Becton Dickinson | 50.12 Bn | 47.27 Bn | 2.32 Bn | 6.11 Bn |
| 9 | Edwards Lifesciences | 50.06 Bn | 34.17 Bn | 1.35 Bn | 210.50 Mn |
| 10 | Varex Imaging | 778.05 Mn | 323.75 Mn | 76.70 Mn | 83.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 83.50 Mn |
| Apr 3, 2026 | 96.40 Mn |
| Jan 2, 2026 | 78.90 Mn |
| Oct 3, 2025 | 69.90 Mn |
| Jul 4, 2025 | 70.70 Mn |
| Apr 4, 2025 | 70.80 Mn |
| Jan 3, 2025 | 65.60 Mn |
| Sep 27, 2024 | 59.10 Mn |
| Jun 28, 2024 | 69.60 Mn |
| Mar 29, 2024 | 69.40 Mn |
| Dec 29, 2023 | 73.70 Mn |
| Sep 29, 2023 | 64.70 Mn |
| Jun 30, 2023 | 74.60 Mn |
| Mar 31, 2023 | 74.20 Mn |
| Dec 30, 2022 | 86.20 Mn |
| Sep 30, 2022 | 78.20 Mn |
| Jul 1, 2022 | 83.20 Mn |
| Apr 1, 2022 | 78.80 Mn |
| Dec 31, 2021 | 71.60 Mn |
| Oct 1, 2021 | 58.80 Mn |
API Access
Varex Imaging Payables 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=payables&ticker=VREX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=VREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();