Vishay Precision (VPG) Asset Writedowns and Impairment (2010 - 2026)
Vishay Precision (VPG) reported Asset Writedowns and Impairment of $723,000 for Q2 2026, down 14.8% from $849,000 a year earlier but up 19.3% from the prior quarter.
Vishay Precision (VPG) Asset Writedowns and Impairment (2010 - 2026) Analysis & Trends
Over the twelve months ended Jul 4, 2026, Vishay Precision's Asset Writedowns and Impairment came in at $2.15 million, down 24.4% year-over-year; for FY2025, it was $2.47 million, up 4.8% from FY2024.
- Asset Writedowns and Impairment has increased for three consecutive years, though with a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- By year, Asset Writedowns and Impairment came in at $2.35 million in FY2024 (+12.1%), $2.1 million in FY2023 (+27.2%), $1.65 million in FY2022 (-27.9%) and $2.29 million in FY2021 (-9.4%).
- Five-year quarterly Asset Writedowns and Impairment spans a low of $132,000 in Q4 2025 and a high of $849,000 in Q2 2025.
- Year over year, Asset Writedowns and Impairment has now declined in each of the last three quarters, with growth averaging 1.8% over the last eight quarters.
- The high point for year-over-year Asset Writedowns and Impairment in five years was Q4 2023 (growth of 167.3%); the low point was Q4 2025 (a decline of 79.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $606,000 (Q1 2026), $132,000 (Q4 2025) and $685,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Vishay Precision | 2.03 Bn | 1.69 Bn | 32.44 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 4, 2026 | 723,000.00 |
| Apr 4, 2026 | 606,000.00 |
| Dec 31, 2025 | 132,000.00 |
| Sep 27, 2025 | 685,000.00 |
| Jun 28, 2025 | 849,000.00 |
| Mar 29, 2025 | 800,000.00 |
| Dec 31, 2024 | 630,000.00 |
| Sep 28, 2024 | 559,000.00 |
| Jun 29, 2024 | 581,000.00 |
| Mar 30, 2024 | 582,000.00 |
| Dec 31, 2023 | 532,000.00 |
| Sep 30, 2023 | 518,000.00 |
| Jul 1, 2023 | 624,000.00 |
| Apr 1, 2023 | 425,000.00 |
| Dec 31, 2022 | 199,000.00 |
| Apr 2, 2022 | 396,000.00 |
| Dec 31, 2021 | 675,000.00 |
| Jul 3, 2021 | 1.22 Mn |
| Apr 3, 2021 | 613,000.00 |
| Dec 31, 2020 | 652,000.00 |
Vishay Precision 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=VPG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "VPG", "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=VPG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();