Vicor (VICR) EBITDA (2010 - 2026)
Vicor (VICR) posted EBITDA of $40.3 million for Q2 2026, down 20.3% from $50.58 million a year earlier but up 81.4% from the prior quarter.
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Analysis
Vicor (VICR) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EBITDA at Vicor was $109.52 million, up 37.7% year-over-year; for FY2025, it came in at $102.61 million, up 492.6% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 29.3% (FY2020 to FY2025).
- In prior years, Vicor's EBITDA was $17.32 million in FY2024 (-74.8%), $68.6 million in FY2023 (+67.4%), $40.98 million in FY2022 (-39.1%) and $67.31 million in FY2021 (+136.8%).
- Quarterly EBITDA has run from a low of -$11.5 million in Q1 2024 to a high of $50.58 million in Q2 2025 over five years.
- On a year-over-year basis, EBITDA increased in five of the last seven quarters, with growth averaging 205.5%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2025, with growth of 937.4%; the weakest was Q2 2024, with a decline of 78.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $22.22 million (Q1 2026), $20.86 million (Q4 2025) and $26.14 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 1.32 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 754.30 Mn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Vicor | 8.78 Bn | 7.15 Bn | 83.12 Mn | 40.30 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.30 Mn |
| Mar 31, 2026 | 22.22 Mn |
| Dec 31, 2025 | 20.86 Mn |
| Sep 30, 2025 | 26.14 Mn |
| Jun 30, 2025 | 50.58 Mn |
| Mar 31, 2025 | 5.04 Mn |
| Dec 31, 2024 | 13.82 Mn |
| Sep 30, 2024 | 10.13 Mn |
| Jun 30, 2024 | 4.88 Mn |
| Mar 31, 2024 | -11.50 Mn |
| Dec 31, 2023 | 11.39 Mn |
| Sep 30, 2023 | 20.26 Mn |
| Jun 30, 2023 | 22.31 Mn |
| Mar 31, 2023 | 14.64 Mn |
| Dec 31, 2022 | 11.67 Mn |
| Sep 30, 2022 | 6.59 Mn |
| Jun 30, 2022 | 14.67 Mn |
| Mar 31, 2022 | 8.08 Mn |
| Dec 31, 2021 | 12.04 Mn |
| Sep 30, 2021 | 14.92 Mn |
API Access
Vicor 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=VICR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=VICR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();