Visteon (VC) EBITDA (2010 - 2026)
Visteon (VC) posted EBITDA of $102 million for Q2 2026, down 14.3% from $119 million a year earlier but up 45.7% from the prior quarter.
Visteon (VC) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Visteon was $368 million, down 11.3% year-over-year; for FY2025, it came in at $431 million, up 11.1% from FY2024.
- Annual EBITDA has increased for five consecutive years, with a five-year compound annual growth rate of 40.0% (FY2020 to FY2025).
- In prior years, Visteon's EBITDA was $388 million in FY2024 (+2.4%), $379 million in FY2023 (+38.3%), $274 million in FY2022 (+58.4%) and $173 million in FY2021 (+116.3%).
- Quarterly EBITDA has run from a low of $34 million in Q3 2021 to a high of $121 million in Q2 2024 over five years.
- On a year-over-year basis, EBITDA has declined in each of the last three quarters, with an average decline of 3.7% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 188.9%; the weakest was Q1 2026, with a decline of 39.7%.
- According to Business Quant data, EBITDA for the three prior quarters was $70 million (Q1 2026), $93 million (Q4 2025) and $103 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Visteon | 2.31 Bn | -468.64 Mn | 118.00 Mn | 102.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 102.00 Mn |
| Mar 31, 2026 | 70.00 Mn |
| Dec 31, 2025 | 93.00 Mn |
| Sep 30, 2025 | 103.00 Mn |
| Jun 30, 2025 | 119.00 Mn |
| Mar 31, 2025 | 116.00 Mn |
| Dec 31, 2024 | 103.00 Mn |
| Sep 30, 2024 | 77.00 Mn |
| Jun 30, 2024 | 121.00 Mn |
| Mar 31, 2024 | 87.00 Mn |
| Dec 31, 2023 | 101.00 Mn |
| Sep 30, 2023 | 115.00 Mn |
| Jun 30, 2023 | 77.00 Mn |
| Mar 31, 2023 | 86.00 Mn |
| Dec 31, 2022 | 87.00 Mn |
| Sep 30, 2022 | 83.00 Mn |
| Jun 30, 2022 | 52.00 Mn |
| Mar 31, 2022 | 52.00 Mn |
| Dec 31, 2021 | 65.00 Mn |
| Sep 30, 2021 | 34.00 Mn |
Visteon EBITDA 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=ebitda&ticker=VC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();