Vicor (VICR) Selling, General & Administrative (2010 - 2026)
Vicor's Selling, General & Administrative was $27.6 million in Q2 2026, down 1.3% from $27.95 million a year earlier but up 19.0% from the prior quarter.
Vicor (VICR) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Vicor's Selling, General & Administrative was $96.74 million through Jun 30, 2026, down 3.9% year-over-year; for FY2025, it was $99.03 million, up 2.2% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $96.89 million in FY2024 (+13.0%), $85.71 million in FY2023 (-0.6%), $86.26 million in FY2022 (+24.1%) and $69.48 million in FY2021 (+10.0%).
- Quarterly Selling, General & Administrative has moved between $17.32 million (Q3 2021) and $27.95 million (Q2 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative has declined for four straight quarters, with growth averaging 1.5% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q4 2022 (growth of 34.0%); the worst was Q4 2023 (a decline of 9.0%).
- Per Business Quant data, VICR's Selling, General & Administrative in the three quarters before Q2 2026 was $23.19 million (Q1 2026), $23.2 million (Q4 2025) and $22.75 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 1.24 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 | 494.40 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 | 1.06 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 | 27.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.60 Mn |
| Mar 31, 2026 | 23.19 Mn |
| Dec 31, 2025 | 23.20 Mn |
| Sep 30, 2025 | 22.75 Mn |
| Jun 30, 2025 | 27.95 Mn |
| Mar 31, 2025 | 25.14 Mn |
| Dec 31, 2024 | 24.17 Mn |
| Sep 30, 2024 | 23.40 Mn |
| Jun 30, 2024 | 23.32 Mn |
| Mar 31, 2024 | 26.00 Mn |
| Dec 31, 2023 | 22.69 Mn |
| Sep 30, 2023 | 22.42 Mn |
| Jun 30, 2023 | 20.38 Mn |
| Mar 31, 2023 | 20.22 Mn |
| Dec 31, 2022 | 24.94 Mn |
| Sep 30, 2022 | 22.72 Mn |
| Jun 30, 2022 | 20.04 Mn |
| Mar 31, 2022 | 18.57 Mn |
| Dec 31, 2021 | 18.62 Mn |
| Sep 30, 2021 | 17.32 Mn |
Vicor Selling, General & Administrative 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=selling-general-and-administrative&ticker=VICR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VICR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();