Vicor (VICR) Accumulated Expenses (2010 - 2026)
Vicor's Accumulated Expenses was $22.22 million in Q3 2026, up 308.7% from $5.44 million a year earlier and up 190.0% from the prior quarter.
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Analysis
Vicor (VICR) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Vicor came in at $3.69 million, down 44.0% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $6.59 million in FY2024 (+29.4%), $5.09 million in FY2023 (-40.9%), $8.61 million in FY2022 (+107.1%) and $4.16 million in FY2021 (+58.5%).
- The Q3 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- Compared with a year earlier, Accumulated Expenses was higher in four of the last eight quarters, with growth averaging 41.8%.
- The best year-over-year quarter for Accumulated Expenses over five years was Q3 2026 (growth of 308.7%); the worst was Q1 2026 (a decline of 48.3%).
- Per Business Quant data, VICR's Accumulated Expenses in the three quarters before Q3 2026 was $7.66 million (Q2 2026), $4.43 million (Q1 2026) and $3.69 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 256.79 Bn | 228.09 Bn | 7.35 Bn |
| 2 | Amphenol | 183.76 Bn | 178.46 Bn | 4.02 Bn |
| 3 | Deere | 181.25 Bn | 149.34 Bn | 4.66 Bn |
| 4 | Eaton | 132.82 Bn | 129.76 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 115.39 Bn | 113.27 Bn | 2.26 Bn |
| 6 | 3M | 96.09 Bn | 77.53 Bn | 2.78 Bn |
| 7 | Emerson Electric | 90.66 Bn | 83.40 Bn | 2.66 Bn |
| 8 | Illinois Tool Works | 79.95 Bn | 76.63 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 70.25 Bn | 59.10 Bn | 1.64 Bn |
| 10 | Vicor | 6.80 Bn | 5.03 Bn | 134.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 22.22 Mn |
| Jun 30, 2026 | 7.66 Mn |
| Mar 31, 2026 | 4.43 Mn |
| Dec 31, 2025 | 3.69 Mn |
| Sep 30, 2025 | 5.44 Mn |
| Jun 30, 2025 | 3.35 Mn |
| Mar 31, 2025 | 8.56 Mn |
| Dec 31, 2024 | 6.59 Mn |
| Sep 30, 2024 | 6.43 Mn |
| Jun 30, 2024 | 6.17 Mn |
| Mar 31, 2024 | 7.08 Mn |
| Dec 31, 2023 | 5.09 Mn |
| Sep 30, 2023 | 5.44 Mn |
| Jun 30, 2023 | 4.28 Mn |
| Mar 31, 2023 | 4.77 Mn |
| Dec 31, 2022 | 8.61 Mn |
| Sep 30, 2022 | 5.75 Mn |
| Jun 30, 2022 | 4.01 Mn |
| Mar 31, 2022 | 3.17 Mn |
| Dec 31, 2021 | 4.16 Mn |
API Access
Vicor Accumulated 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=accumulated-expenses&ticker=VICR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VICR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();