Bel Fuse (BELFA) Total Liabilities (2010 - 2026)
Bel Fuse (BELFA) posted Total Liabilities of $354.81 million for Q2 2026, down 35.0% from $545.84 million a year earlier and down 30.8% from the prior quarter.
Bel Fuse (BELFA) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Bel Fuse's Total Liabilities came in at $509.69 million, down 13.5% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 13.7% (FY2020 to FY2025).
- In prior years, Bel Fuse's Total Liabilities was $589.21 million in FY2024 (+155.0%), $231.07 million in FY2023 (-22.5%), $298.12 million in FY2022 (-1.6%) and $303.1 million in FY2021 (+13.1%).
- The Q2 2026 figure stands as the lowest quarterly Total Liabilities since Q1 2025.
- On a year-over-year basis, Total Liabilities increased in four of the last eight quarters, with growth averaging 68.1%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q2 2025, with growth of 158.5%; the weakest was Q2 2026, with a decline of 35.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $512.98 million (Q1 2026), $509.69 million (Q4 2025) and $525.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,028.22 Bn | 4,775.71 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 420.88 Bn | 356.80 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 293.18 Bn | 248.94 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 230.46 Bn | 183.91 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 201.65 Bn | 190.18 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Sony | 148.11 Bn | 85.38 Bn | 6.53 Bn | 44.91 Bn |
| 7 | Seagate Technology Holdings | 144.57 Bn | 139.56 Bn | 1.90 Bn | 7.81 Bn |
| 8 | Western Digital | 121.56 Bn | 109.69 Bn | 2.03 Bn | 5.00 Bn |
| 9 | Hewlett Packard Enterprise | 74.47 Bn | 52.35 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Bel Fuse | 2.36 Bn | 1.88 Bn | 83.97 Mn | 354.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 354.81 Mn |
| Mar 31, 2026 | 512.98 Mn |
| Dec 31, 2025 | 509.69 Mn |
| Sep 30, 2025 | 525.04 Mn |
| Jun 30, 2025 | 545.84 Mn |
| Mar 31, 2025 | 207.52 Mn |
| Dec 31, 2024 | 589.21 Mn |
| Sep 30, 2024 | 217.06 Mn |
| Jun 30, 2024 | 211.19 Mn |
| Mar 31, 2024 | 208.68 Mn |
| Dec 31, 2023 | 231.07 Mn |
| Sep 30, 2023 | 237.66 Mn |
| Jun 30, 2023 | 247.93 Mn |
| Mar 31, 2023 | 296.46 Mn |
| Dec 31, 2022 | 298.12 Mn |
| Sep 30, 2022 | 317.78 Mn |
| Jun 30, 2022 | 316.37 Mn |
| Mar 31, 2022 | 304.93 Mn |
| Dec 31, 2021 | 303.10 Mn |
| Sep 30, 2021 | 287.38 Mn |
Bel Fuse 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=BELFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "BELFA", "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=BELFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();