Vicor (VICR) Operating Expenses (2010 - 2026)
Vicor (VICR) recorded Operating Expenses of $48.24 million in Q2 2026, up 3.2% from $46.74 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Vicor (VICR) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Vicor's Operating Expenses came in at $180.07 million as of Jun 30, 2026, up 4.2% year-over-year; for FY2025, it came in at $177.6 million, down 4.2% from FY2024.
- Annual Operating Expenses has a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $185.31 million in FY2024 (+20.7%), $153.57 million in FY2023 (+0.1%), $153.36 million in FY2022 (+25.1%) and $122.6 million in FY2021 (+7.5%).
- The Q2 2026 figure is the highest quarterly Operating Expenses since Q1 2024.
- On a year-over-year basis, Operating Expenses has increased for five consecutive quarters, with growth averaging 0.4% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 69.7% in Q1 2024, against a decline of 27.3% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $45.48 million (Q1 2026), $43.74 million (Q4 2025) and $42.61 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | - |
| 10 | Vicor | 13.10 Bn | 11.47 Bn | 83.12 Mn | 48.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.24 Mn |
| Mar 31, 2026 | 45.48 Mn |
| Dec 31, 2025 | 43.74 Mn |
| Sep 30, 2025 | 42.61 Mn |
| Jun 30, 2025 | 46.74 Mn |
| Mar 31, 2025 | 44.51 Mn |
| Dec 31, 2024 | 41.16 Mn |
| Sep 30, 2024 | 40.36 Mn |
| Jun 30, 2024 | 42.56 Mn |
| Mar 31, 2024 | 61.24 Mn |
| Dec 31, 2023 | 40.00 Mn |
| Sep 30, 2023 | 40.17 Mn |
| Jun 30, 2023 | 37.31 Mn |
| Mar 31, 2023 | 36.09 Mn |
| Dec 31, 2022 | 41.02 Mn |
| Sep 30, 2022 | 43.97 Mn |
| Jun 30, 2022 | 35.55 Mn |
| Mar 31, 2022 | 32.82 Mn |
| Dec 31, 2021 | 31.92 Mn |
| Sep 30, 2021 | 30.84 Mn |
API Access
Vicor Operating Expenses 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=operating-expenses&ticker=VICR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=VICR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();