Fuller H B (FUL) Change in Accured Expenses (2010 - 2026)
Fuller H B's Change in Accured Expenses was $40.77 million in fiscal Q3 2026 (quarter ended Aug 29, 2026), up 856.2% from $4.26 million a year earlier and up 52.2% from the prior quarter.
Fuller H B (FUL) Change in Accured Expenses (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Fuller H B's Change in Accured Expenses was $75.9 million through Aug 29, 2026; for FY2025 (ended Nov 29, 2025), it was $35.53 million, up 180.8% from FY2024.
- Change in Accured Expenses shows a five-year compound annual growth rate of 16.8% (FY2020 to FY2025).
- In earlier fiscal years, Change in Accured Expenses was $12.65 million in FY2024, -$13.84 million in FY2023, $6.3 million in FY2022 (-77.3%) and $27.74 million in FY2021 (+69.6%).
- Quarterly Change in Accured Expenses has moved between -$57 million (fiscal Q1 2023) and $54.76 million (fiscal Q4 2025) over five years.
- Compared with a year earlier, Change in Accured Expenses was higher in four of the last six quarters, with growth averaging 178.4%.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q3 2026 (growth of 856.2%); the worst was fiscal Q3 2023 (a decline of 63.8%).
- Per Business Quant data, FUL's Change in Accured Expenses in the three fiscal quarters before Q3 2026 was $26.78 million (Q2 2026), -$46.43 million (Q1 2026) and $54.76 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 236.29 Bn | 217.87 Bn | 4.43 Bn | 56.00 Mn |
| 2 | Corning | 106.97 Bn | 99.54 Bn | 1.63 Bn | 275.00 Mn |
| 3 | Sherwin Williams | 82.64 Bn | 81.69 Bn | 3.34 Bn | - |
| 4 | Air Products & Chemicals | 68.77 Bn | 63.95 Bn | 1.04 Bn | 43.80 Mn |
| 5 | LyondellBasell Industries | 43.15 Bn | 32.66 Bn | 2.04 Bn | - |
| 6 | Nutrien | 33.96 Bn | 30.79 Bn | 3.25 Bn | 122.00 Mn |
| 7 | Ppg Industries | 24.76 Bn | 17.42 Bn | 1.81 Bn | 272.00 Mn |
| 8 | International Flavors & Fragrances | 24.07 Bn | 21.72 Bn | 853.00 Mn | 77.00 Mn |
| 9 | Dow | 23.69 Bn | 7.18 Bn | 2.17 Bn | - |
| 10 | Fuller H B | 2.69 Bn | 2.27 Bn | 311.69 Mn | 40.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 40.77 Mn |
| May 30, 2026 | 26.78 Mn |
| Feb 28, 2026 | -46.43 Mn |
| Nov 29, 2025 | 54.76 Mn |
| Aug 30, 2025 | 4.26 Mn |
| May 31, 2025 | 14.42 Mn |
| Mar 1, 2025 | -37.91 Mn |
| Nov 30, 2024 | 24.22 Mn |
| Aug 31, 2024 | 4.86 Mn |
| Jun 1, 2024 | 15.44 Mn |
| Mar 2, 2024 | -31.86 Mn |
| Dec 2, 2023 | 19.96 Mn |
| Sep 2, 2023 | 8.39 Mn |
| Jun 3, 2023 | 14.81 Mn |
| Mar 4, 2023 | -57.00 Mn |
| Dec 3, 2022 | 23.58 Mn |
| Aug 27, 2022 | 23.17 Mn |
| May 28, 2022 | 3.62 Mn |
| Feb 26, 2022 | -44.07 Mn |
| Nov 27, 2021 | 30.03 Mn |
Fuller H B Change in Accured 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=change-in-accured-expenses&ticker=FUL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=FUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();