Varex Imaging (VREX) Asset Writedowns and Impairment (2018 - 2026)
Varex Imaging (VREX) posted Asset Writedowns and Impairment of $1.6 million for fiscal Q3 2026 (quarter ended Jul 3, 2026), down 98.3% from $92.3 million a year earlier and unchanged from the prior quarter.
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Analysis
Varex Imaging (VREX) Asset Writedowns and Impairment (2018 - 2026) Analysis & Trends
For the trailing twelve months through Jul 3, 2026, Asset Writedowns and Impairment at Varex Imaging was $4.3 million, down 95.5% year-over-year; for FY2025 (ended Oct 3, 2025), it came in at $93.9 million.
- Annual Asset Writedowns and Impairment shows a five-year compound annual growth rate of 39.0% (FY2020 to FY2025).
- In prior fiscal years, Varex Imaging's Asset Writedowns and Impairment was $4.9 million in FY2024 (-70.1%), $16.4 million in FY2023 (+156.3%), $6.4 million in FY2022 (+82.9%) and $3.5 million in FY2021 (-80.7%).
- Quarterly Asset Writedowns and Impairment has run from a low of $400,000 in fiscal Q1 2022 to a high of $92.3 million in fiscal Q3 2025 over five years.
- On a year-over-year basis, Asset Writedowns and Impairment increased in two of the last six quarters, with an average decline of 16.8%.
- The strongest year-over-year quarter for Asset Writedowns and Impairment in the past five years was fiscal Q1 2023, with growth of 400.0%; the weakest was fiscal Q3 2026, with a decline of 98.3%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | Varex Imaging | 778.05 Mn | 323.75 Mn | 76.70 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 1.60 Mn |
| Apr 3, 2026 | 1.60 Mn |
| Jan 2, 2026 | 1.10 Mn |
| Jul 4, 2025 | 92.30 Mn |
| Apr 4, 2025 | 1.10 Mn |
| Jan 3, 2025 | 500,000.00 |
| Sep 27, 2024 | 1.50 Mn |
| Mar 29, 2024 | 1.70 Mn |
| Dec 29, 2023 | 900,000.00 |
| Sep 29, 2023 | 12.60 Mn |
| Jun 30, 2023 | 1.20 Mn |
| Mar 31, 2023 | 600,000.00 |
| Dec 30, 2022 | 2.00 Mn |
| Sep 30, 2022 | 1.10 Mn |
| Jul 1, 2022 | 3.70 Mn |
| Apr 1, 2022 | 1.20 Mn |
| Dec 31, 2021 | 400,000.00 |
| Apr 2, 2021 | 3.50 Mn |
| Oct 2, 2020 | 2.30 Mn |
| Jul 3, 2020 | 2.80 Mn |
API Access
Varex Imaging Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=VREX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=VREX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();