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.
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Analysis
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 Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Bel Fuse | 2.47 Bn | 2.09 Bn | 83.97 Mn | 354.81 Mn |
Historic Data
Download Data
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 |
API Access
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_KEYimport 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();