Bel Fuse (BELFB) Selling, General & Administrative (2010 - 2026)
Analysis
Bel Fuse (BELFB) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 39.44 Mn |
| Jun 30, 2026 | 36.29 Mn |
| Mar 31, 2026 | 36.73 Mn |
| Dec 31, 2025 | 32.60 Mn |
| Sep 30, 2025 | 32.80 Mn |
| Jun 30, 2025 | 30.91 Mn |
| Mar 31, 2025 | 29.51 Mn |
| Dec 31, 2024 | 34.83 Mn |
| Sep 30, 2024 | 26.70 Mn |
| Jun 30, 2024 | 24.14 Mn |
| Mar 31, 2024 | 24.94 Mn |
| Dec 31, 2023 | 24.94 Mn |
| Sep 30, 2023 | 23.72 Mn |
| Jun 30, 2023 | 25.14 Mn |
| Mar 31, 2023 | 25.30 Mn |
| Dec 31, 2022 | 25.13 Mn |
| Sep 30, 2022 | 22.22 Mn |
| Jun 30, 2022 | 23.97 Mn |
| Mar 31, 2022 | 21.03 Mn |
| Dec 31, 2021 | 21.86 Mn |
API Access
Bel Fuse Selling, General & Administrative 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=selling-general-and-administrative&ticker=BELFB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "BELFB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=BELFB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();