Vicor (VICR) Total Liabilities (2010 - 2026)
Vicor (VICR) posted Total Liabilities of $59.57 million for Q2 2026, down 29.6% from $84.64 million a year earlier but up 17.4% from the prior quarter.
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Analysis
Vicor (VICR) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Vicor's Total Liabilities came in at $74.02 million, up 4.5% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- In prior years, Vicor's Total Liabilities was $70.83 million in FY2024 (+31.7%), $53.78 million in FY2023 (-25.9%), $72.57 million in FY2022 (+36.1%) and $53.3 million in FY2021 (+18.2%).
- Quarterly Total Liabilities has run from a low of $47.18 million in Q3 2021 to a high of $84.64 million in Q2 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in six of the last eight quarters, with growth averaging 4.7%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 57.4%; the weakest was Q1 2026, with a decline of 39.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $50.76 million (Q1 2026), $74.02 million (Q4 2025) and $79.89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 333.79 Bn | 305.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 197.60 Bn | 192.18 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 169.21 Bn | 137.30 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 152.39 Bn | 149.57 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 122.22 Bn | 120.34 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Emerson Electric | 89.77 Bn | 82.51 Bn | 2.66 Bn | 21.81 Bn |
| 7 | 3M | 84.26 Bn | 65.66 Bn | 2.68 Bn | 31.92 Bn |
| 8 | Vertiv Holdings | 79.29 Bn | 69.91 Bn | 1.23 Bn | 11.14 Bn |
| 9 | Illinois Tool Works | 77.45 Bn | 74.01 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Vicor | 8.78 Bn | 7.15 Bn | 83.12 Mn | 59.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 59.57 Mn |
| Mar 31, 2026 | 50.76 Mn |
| Dec 31, 2025 | 74.02 Mn |
| Sep 30, 2025 | 79.89 Mn |
| Jun 30, 2025 | 84.64 Mn |
| Mar 31, 2025 | 84.48 Mn |
| Dec 31, 2024 | 70.83 Mn |
| Sep 30, 2024 | 77.89 Mn |
| Jun 30, 2024 | 75.78 Mn |
| Mar 31, 2024 | 73.07 Mn |
| Dec 31, 2023 | 53.78 Mn |
| Sep 30, 2023 | 55.35 Mn |
| Jun 30, 2023 | 59.64 Mn |
| Mar 31, 2023 | 63.60 Mn |
| Dec 31, 2022 | 72.57 Mn |
| Sep 30, 2022 | 74.24 Mn |
| Jun 30, 2022 | 68.25 Mn |
| Mar 31, 2022 | 57.16 Mn |
| Dec 31, 2021 | 53.30 Mn |
| Sep 30, 2021 | 47.18 Mn |
API Access
Vicor Total 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-liabilities&ticker=VICR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=VICR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();