Fuller H B (FUL) Accumulated Expenses (2009 - 2026)
Fuller H B's Accumulated Expenses was $147.78 million in fiscal Q3 2026 (quarter ended Aug 29, 2026), up 39.7% from $105.77 million a year earlier and up 7.8% from the prior quarter.
Fuller H B (FUL) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 29, 2025), Accumulated Expenses at Fuller H B came in at $133.91 million, up 38.0% from FY2024.
- Accumulated Expenses shows a five-year compound annual growth rate of 9.8% (FY2020 to FY2025).
- In earlier fiscal years, Accumulated Expenses was $97.04 million in FY2024 (-10.1%), $107.9 million in FY2023 (+20.8%), $89.35 million in FY2022 (+3.8%) and $86.06 million in FY2021 (+2.5%).
- The fiscal Q3 2026 figure marks the highest quarterly Accumulated Expenses in data going back to fiscal Q4 2009.
- Compared with a year earlier, Accumulated Expenses has increased for seven straight quarters, with growth averaging 25.2% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was fiscal Q1 2026 (growth of 53.0%); the worst was fiscal Q1 2024 (a decline of 18.8%).
- Per Business Quant data, FUL's Accumulated Expenses in the three fiscal quarters before Q3 2026 was $137.1 million (Q2 2026), $123.31 million (Q1 2026) and $133.91 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 235.54 Bn | 217.12 Bn | 4.43 Bn |
| 2 | Corning | 107.21 Bn | 99.77 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 83.94 Bn | 82.98 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 68.27 Bn | 63.45 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 41.24 Bn | 30.75 Bn | 2.04 Bn |
| 6 | Nutrien | 33.41 Bn | 30.24 Bn | 3.25 Bn |
| 7 | Ppg Industries | 25.03 Bn | 17.69 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.70 Bn | 21.36 Bn | 853.00 Mn |
| 9 | Qnity Electronics | 22.98 Bn | 20.12 Bn | 666.00 Mn |
| 10 | Fuller H B | 2.78 Bn | 2.35 Bn | 311.69 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 147.78 Mn |
| May 30, 2026 | 137.10 Mn |
| Feb 28, 2026 | 123.31 Mn |
| Nov 29, 2025 | 133.91 Mn |
| Aug 30, 2025 | 105.77 Mn |
| May 31, 2025 | 97.49 Mn |
| Mar 1, 2025 | 80.59 Mn |
| Nov 30, 2024 | 97.04 Mn |
| Aug 31, 2024 | 87.50 Mn |
| Jun 1, 2024 | 83.35 Mn |
| Mar 2, 2024 | 78.35 Mn |
| Dec 2, 2023 | 107.90 Mn |
| Sep 2, 2023 | 102.84 Mn |
| Jun 3, 2023 | 99.17 Mn |
| Mar 4, 2023 | 96.50 Mn |
| Dec 3, 2022 | 89.35 Mn |
| Aug 27, 2022 | 87.26 Mn |
| May 28, 2022 | 86.84 Mn |
| Feb 26, 2022 | 78.47 Mn |
| Nov 27, 2021 | 86.06 Mn |
Fuller H B Accumulated 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=accumulated-expenses&ticker=FUL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=FUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();