Fuller H B (FUL) Operating Expenses (2010 - 2026)
Analysis
Fuller H B (FUL) Operating Expenses (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 238.84 Bn | 220.98 Bn | 4.44 Bn | 1.35 Bn |
| 2 | Corning | 98.69 Bn | 90.37 Bn | 1.81 Bn | 877.00 Mn |
| 3 | Sherwin Williams | 85.12 Bn | 84.13 Bn | 3.28 Bn | 2.07 Bn |
| 4 | Air Products & Chemicals | 69.02 Bn | 64.21 Bn | 1.04 Bn | 3.15 Bn |
| 5 | LyondellBasell Industries | 38.36 Bn | 26.43 Bn | 1.50 Bn | 7.43 Bn |
| 6 | Nutrien | 34.35 Bn | 30.38 Bn | - | - |
| 7 | Ppg Industries | 27.44 Bn | 20.36 Bn | 1.76 Bn | 1.12 Bn |
| 8 | Qnity Electronics | 26.06 Bn | 22.20 Bn | 743.00 Mn | 305.00 Mn |
| 9 | Ati | 25.56 Bn | 23.51 Bn | 380.20 Mn | 108.60 Mn |
| 10 | Fuller H B | 2.74 Bn | 2.32 Bn | 311.69 Mn | 198.48 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 198.48 Mn |
| May 30, 2026 | 202.37 Mn |
| Feb 28, 2026 | 184.45 Mn |
| Nov 29, 2025 | 183.64 Mn |
| Aug 30, 2025 | 174.97 Mn |
| May 31, 2025 | 186.34 Mn |
| Mar 1, 2025 | 180.63 Mn |
| Nov 30, 2024 | 188.45 Mn |
| Aug 31, 2024 | 171.39 Mn |
| Jun 1, 2024 | 181.46 Mn |
| Mar 2, 2024 | 172.36 Mn |
| Dec 2, 2023 | 160.44 Mn |
| Sep 2, 2023 | 172.15 Mn |
| Jun 3, 2023 | 166.63 Mn |
| Mar 4, 2023 | 154.54 Mn |
| Dec 3, 2022 | 157.87 Mn |
| Aug 27, 2022 | 161.21 Mn |
| May 28, 2022 | 166.01 Mn |
| Feb 26, 2022 | 155.89 Mn |
| Nov 27, 2021 | 165.79 Mn |
API Access
Fuller H B Operating Expenses 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=operating-expenses&ticker=FUL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FUL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=operating-expenses&ticker=FUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();