Vicor (VICR) Buildings (2012 - 2025)
Vicor (VICR) recorded Buildings of $88.68 million in Q4 2025, up 2.5% from $86.5 million a year earlier.
Analysis
Vicor (VICR) Buildings (2012 - 2025) Analysis & Trends
Starting with Q4 2012, Vicor's Buildings history includes 14 quarters.
- Annual Buildings has increased for nine straight years, with a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- Across earlier years, Buildings came in at $86.5 million in FY2024 (+4.4%), $82.86 million in FY2023 (+12.7%), $73.52 million in FY2022 (+46.6%) and $50.14 million in FY2021 (+9.2%).
- The Q4 2025 figure is the highest quarterly Buildings in data going back to Q4 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn |
| 10 | Vicor | 9.40 Bn | 7.78 Bn | 83.12 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 88.68 Mn |
| Dec 31, 2024 | 86.50 Mn |
| Dec 31, 2023 | 82.86 Mn |
| Dec 31, 2022 | 73.52 Mn |
| Dec 31, 2021 | 50.14 Mn |
| Dec 31, 2020 | 45.91 Mn |
| Dec 31, 2019 | 45.79 Mn |
| Dec 31, 2018 | 45.17 Mn |
| Dec 31, 2017 | 45.15 Mn |
| Dec 31, 2016 | 43.95 Mn |
| Dec 31, 2015 | 44.65 Mn |
| Dec 31, 2014 | 43.80 Mn |
| Dec 31, 2013 | 43.08 Mn |
| Dec 31, 2012 | 42.65 Mn |
API Access
Vicor Buildings 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=buildings&ticker=VICR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=VICR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();