Vicor (VICR) Total Current Liabilities (2010 - 2026)
Vicor's Total Current Liabilities came in at $50.6 million for Q2 2026, down 31.5% from $73.84 million a year earlier but up 20.7% from the prior quarter.
Vicor (VICR) Total Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Vicor's Total Current Liabilities was $65.32 million, up 5.7% from FY2024.
- Total Current Liabilities carries a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $61.82 million in FY2024 (+40.0%), $44.17 million in FY2023 (-31.6%), $64.55 million in FY2022 (+31.5%) and $49.09 million in FY2021 (+21.2%).
- The five-year range for quarterly Total Current Liabilities is $41.93 million (Q1 2026) to $75.66 million (Q1 2025).
- Year-over-year, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 6.0%.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q3 2024 (growth of 51.2%), and the weakest in Q1 2026 (a decline of 44.6%).
- Business Quant data shows VICR's Total Current Liabilities at $41.93 million (Q1 2026), $65.32 million (Q4 2025) and $70.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | - |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 10.77 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 11.38 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 7.24 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Vicor | 8.78 Bn | 7.15 Bn | 83.12 Mn | 50.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 50.60 Mn |
| Mar 31, 2026 | 41.93 Mn |
| Dec 31, 2025 | 65.32 Mn |
| Sep 30, 2025 | 70.69 Mn |
| Jun 30, 2025 | 73.84 Mn |
| Mar 31, 2025 | 75.66 Mn |
| Dec 31, 2024 | 61.82 Mn |
| Sep 30, 2024 | 70.37 Mn |
| Jun 30, 2024 | 67.84 Mn |
| Mar 31, 2024 | 64.08 Mn |
| Dec 31, 2023 | 44.17 Mn |
| Sep 30, 2023 | 46.53 Mn |
| Jun 30, 2023 | 49.98 Mn |
| Mar 31, 2023 | 53.67 Mn |
| Dec 31, 2022 | 64.55 Mn |
| Sep 30, 2022 | 64.36 Mn |
| Jun 30, 2022 | 59.45 Mn |
| Mar 31, 2022 | 49.56 Mn |
| Dec 31, 2021 | 49.09 Mn |
| Sep 30, 2021 | 42.62 Mn |
Vicor Total Current Liabilities 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=total-current-liabilities&ticker=VICR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=VICR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();