Fuller H B (FUL) Total Non-Current Liabilities (2009 - 2026)
Fuller H B's Total Non-Current Liabilities came in at $2.92 billion for fiscal Q3 2026 (quarter ended Aug 29, 2026), up 4.0% from $2.81 billion a year earlier and up 0.7% from the prior quarter.
Fuller H B (FUL) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Nov 29, 2025), Fuller H B's Total Non-Current Liabilities was $2.81 billion, up 1.1% from FY2024.
- Total Non-Current Liabilities has increased in each of the last five fiscal years, with a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- Going back by fiscal year, Total Non-Current Liabilities was $2.78 billion in FY2024 (+7.8%), $2.58 billion in FY2023 (+3.4%), $2.49 billion in FY2022 (+3.9%) and $2.4 billion in FY2021 (+11.1%).
- The fiscal Q3 2026 figure represents the highest quarterly Total Non-Current Liabilities since fiscal Q4 2017.
- Year-over-year, Total Non-Current Liabilities increased in seven of the last eight quarters, with growth averaging 3.7%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in fiscal Q1 2025 (growth of 12.4%), and the weakest in fiscal Q3 2023 (a decline of 5.3%).
- Business Quant data shows FUL's Total Non-Current Liabilities at $2.9 billion (Q2 2026), $2.79 billion (Q1 2026) and $2.81 billion (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.79 Bn | 217.37 Bn | 4.43 Bn | 36.82 Bn |
| 2 | Corning | 106.66 Bn | 99.23 Bn | 1.63 Bn | 14.10 Bn |
| 3 | Sherwin Williams | 84.26 Bn | 83.30 Bn | 3.34 Bn | 20.50 Bn |
| 4 | Air Products & Chemicals | 68.55 Bn | 63.74 Bn | 1.04 Bn | 19.27 Bn |
| 5 | LyondellBasell Industries | 42.27 Bn | 31.78 Bn | 2.04 Bn | 22.10 Bn |
| 6 | Nutrien | 33.55 Bn | 30.38 Bn | 3.25 Bn | 27.37 Bn |
| 7 | Ppg Industries | 25.18 Bn | 17.84 Bn | 1.81 Bn | 13.30 Bn |
| 8 | International Flavors & Fragrances | 23.86 Bn | 21.52 Bn | 853.00 Mn | 6.74 Bn |
| 9 | Dow | 22.91 Bn | 6.41 Bn | 2.17 Bn | 35.57 Bn |
| 10 | Fuller H B | 2.76 Bn | 2.33 Bn | 311.69 Mn | 2.92 Bn |
Historic Data
| Date | Value |
|---|---|
| Aug 29, 2026 | 2.92 Bn |
| May 30, 2026 | 2.90 Bn |
| Feb 28, 2026 | 2.79 Bn |
| Nov 29, 2025 | 2.81 Bn |
| Aug 30, 2025 | 2.81 Bn |
| May 31, 2025 | 2.86 Bn |
| Mar 1, 2025 | 2.85 Bn |
| Nov 30, 2024 | 2.78 Bn |
| Aug 31, 2024 | 2.78 Bn |
| Jun 1, 2024 | 2.76 Bn |
| Mar 2, 2024 | 2.53 Bn |
| Dec 2, 2023 | 2.58 Bn |
| Sep 2, 2023 | 2.55 Bn |
| Jun 3, 2023 | 2.57 Bn |
| Mar 4, 2023 | 2.54 Bn |
| Dec 3, 2022 | 2.49 Bn |
| Aug 27, 2022 | 2.69 Bn |
| May 28, 2022 | 2.70 Bn |
| Feb 26, 2022 | 2.68 Bn |
| Nov 27, 2021 | 2.40 Bn |
Fuller H B Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=FUL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=FUL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();