Vicor (VICR) Property, Plant & Equipment (Net) (2010 - 2026)
Vicor's Property, Plant & Equipment (Net) was $177.99 million in Q3 2026, up 16.7% from $152.53 million a year earlier and up 9.5% from the prior quarter.
Vicor (VICR) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Property, Plant & Equipment (Net) at Vicor came in at $147.69 million, down 3.3% from FY2024.
- Property, Plant & Equipment (Net) has now declined for three consecutive years, though with a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- In earlier years, Property, Plant & Equipment (Net) was $152.71 million in FY2024 (-3.2%), $157.69 million in FY2023 (-5.0%), $166.01 million in FY2022 (+43.1%) and $115.98 million in FY2021 (+55.0%).
- The Q3 2026 figure marks the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2010.
- Compared with a year earlier, Property, Plant & Equipment (Net) has increased for three straight quarters, with growth averaging 1.0% over the last eight quarters.
- The best year-over-year quarter for Property, Plant & Equipment (Net) over five years was Q1 2022 (growth of 73.2%); the worst was Q2 2024 (a decline of 7.5%).
- Per Business Quant data, VICR's Property, Plant & Equipment (Net) in the three quarters before Q3 2026 was $162.54 million (Q2 2026), $154.64 million (Q1 2026) and $147.69 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn | 16.01 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn | 3.24 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn | - |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn | 4.82 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn | 3.43 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn | 6.97 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn | 2.86 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn | 2.25 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn | 1.32 Bn |
| 10 | Vicor | 6.80 Bn | 5.03 Bn | 134.68 Mn | 177.99 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 177.99 Mn |
| Jun 30, 2026 | 162.54 Mn |
| Mar 31, 2026 | 154.64 Mn |
| Dec 31, 2025 | 147.69 Mn |
| Sep 30, 2025 | 152.53 Mn |
| Jun 30, 2025 | 154.29 Mn |
| Mar 31, 2025 | 153.12 Mn |
| Dec 31, 2024 | 152.71 Mn |
| Sep 30, 2024 | 158.78 Mn |
| Jun 30, 2024 | 156.69 Mn |
| Mar 31, 2024 | 157.68 Mn |
| Dec 31, 2023 | 157.69 Mn |
| Sep 30, 2023 | 170.60 Mn |
| Jun 30, 2023 | 169.40 Mn |
| Mar 31, 2023 | 167.81 Mn |
| Dec 31, 2022 | 166.01 Mn |
| Sep 30, 2022 | 163.20 Mn |
| Jun 30, 2022 | 156.82 Mn |
| Mar 31, 2022 | 140.49 Mn |
| Dec 31, 2021 | 115.98 Mn |
Vicor Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=VICR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "ticker": "VICR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=property-plant-and-equipment-net&ticker=VICR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();