Visteon (VC) Buildings (2010 - 2025)
Visteon's Buildings came in at $121 million for Q4 2025, up 21.0% from $100 million a year earlier.
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Analysis
Visteon (VC) Buildings (2010 - 2025) Analysis & Trends
Going back to Q4 2010, Visteon's Buildings data covers 32 quarters.
- Buildings has increased in each of the last three years, with a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Going back by year, Buildings was $100 million in FY2024 (+5.3%), $95 million in FY2023 (+8.0%), $88 million in FY2022 (-3.3%) and $91 million in FY2021 (-5.2%).
- The Q4 2025 figure represents the highest quarterly Buildings since Q1 2015.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn |
| 10 | Visteon | 2.31 Bn | -468.64 Mn | 118.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 121.00 Mn |
| Dec 31, 2024 | 100.00 Mn |
| Dec 31, 2023 | 95.00 Mn |
| Dec 31, 2022 | 88.00 Mn |
| Dec 31, 2021 | 91.00 Mn |
| Dec 31, 2020 | 96.00 Mn |
| Dec 31, 2019 | 83.00 Mn |
| Dec 31, 2018 | 76.00 Mn |
| Dec 31, 2017 | 73.00 Mn |
| Mar 31, 2017 | 72.00 Mn |
| Dec 31, 2016 | 65.00 Mn |
| Sep 30, 2016 | 69.00 Mn |
| Jun 30, 2016 | 66.00 Mn |
| Mar 31, 2016 | 71.00 Mn |
| Dec 31, 2015 | 64.00 Mn |
| Sep 30, 2015 | 71.00 Mn |
| Jun 30, 2015 | 67.00 Mn |
| Mar 31, 2015 | 299.00 Mn |
| Dec 31, 2014 | 66.00 Mn |
| Sep 30, 2014 | 294.00 Mn |
API Access
Visteon 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=VC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "VC", "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=VC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();