Bel Fuse (BELFA) Property, Plant & Equipment (Net) (2010 - 2026)
Bel Fuse (BELFA) reported Property, Plant & Equipment (Net) of $47.05 million for Q2 2026, down 3.4% from $48.7 million a year earlier and down 2.9% from the prior quarter.
Bel Fuse (BELFA) Property, Plant & Equipment (Net) (2010 - 2026) Analysis & Trends
At the end of FY2025, Bel Fuse posted Property, Plant & Equipment (Net) of $48.43 million, up 1.1% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $47.88 million in FY2024 (+31.1%), $36.53 million in FY2023 (-0.8%), $36.83 million in FY2022 (-3.6%) and $38.21 million in FY2021 (+10.8%).
- The Q2 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since Q3 2024.
- Year over year, Property, Plant & Equipment (Net) gained in six of the last eight quarters, with growth averaging 15.9%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q2 2025 (growth of 38.8%); the low point was Q2 2024 (a decline of 8.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $48.48 million (Q1 2026), $48.43 million (Q4 2025) and $47.56 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,874.86 Bn | 4,622.35 Bn | 54.77 Bn | 51.43 Bn |
| 2 | Cisco Systems | 442.74 Bn | 378.67 Bn | 11.06 Bn | 2.76 Bn |
| 3 | Dell Technologies | 360.03 Bn | 315.78 Bn | 9.83 Bn | 7.42 Bn |
| 4 | Arista Networks | 261.51 Bn | 214.96 Bn | 1.91 Bn | 312.50 Mn |
| 5 | Sandisk | 251.12 Bn | 239.64 Bn | 7.58 Bn | 674.00 Mn |
| 6 | Seagate Technology Holdings | 192.54 Bn | 187.54 Bn | 1.90 Bn | 2.03 Bn |
| 7 | Western Digital | 149.92 Bn | 138.05 Bn | 2.03 Bn | 2.48 Bn |
| 8 | Sony | 146.49 Bn | 96.88 Bn | 6.53 Bn | 8.89 Bn |
| 9 | Lumentum Holdings | 96.17 Bn | 87.98 Bn | 477.30 Mn | 1.16 Bn |
| 10 | Bel Fuse | 2.58 Bn | 2.20 Bn | 83.97 Mn | 47.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 47.05 Mn |
| Mar 31, 2026 | 48.48 Mn |
| Dec 31, 2025 | 48.43 Mn |
| Sep 30, 2025 | 47.56 Mn |
| Jun 30, 2025 | 48.70 Mn |
| Mar 31, 2025 | 47.27 Mn |
| Dec 31, 2024 | 47.88 Mn |
| Sep 30, 2024 | 36.74 Mn |
| Jun 30, 2024 | 35.08 Mn |
| Mar 31, 2024 | 36.04 Mn |
| Dec 31, 2023 | 36.53 Mn |
| Sep 30, 2023 | 38.19 Mn |
| Jun 30, 2023 | 38.45 Mn |
| Mar 31, 2023 | 38.50 Mn |
| Dec 31, 2022 | 36.83 Mn |
| Sep 30, 2022 | 35.23 Mn |
| Jun 30, 2022 | 36.11 Mn |
| Mar 31, 2022 | 37.57 Mn |
| Dec 31, 2021 | 38.21 Mn |
| Sep 30, 2021 | 35.55 Mn |
Bel Fuse Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=BELFA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=BELFA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();