Wd 40 (WDFC) Other Non-Current Liabilities (2011 - 2026)
Wd 40's Other Non-Current Liabilities came in at $1.81 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 24.7% from $1.45 million a year earlier and up 24.4% from the prior quarter.
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Analysis
Wd 40 (WDFC) Other Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Wd 40's Other Non-Current Liabilities was $1.41 million, down 90.0% from FY2024.
- Other Non-Current Liabilities carries a five-year compound annual growth rate of -34.1% (FY2020 to FY2025).
- Going back by fiscal year, Other Non-Current Liabilities was $14.07 million in FY2024 (+7.7%), $13.07 million in FY2023 (+16.8%), $11.19 million in FY2022 (-2.6%) and $11.48 million in FY2021 (+1.6%).
- The fiscal Q3 2026 figure represents the highest quarterly Other Non-Current Liabilities since fiscal Q1 2025.
- Year-over-year, Other Non-Current Liabilities increased in four of the last eight quarters, with an average decline of 38.8%.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in fiscal Q3 2026 (growth of 24.7%), and the weakest in fiscal Q1 2026 (a decline of 90.2%).
- Business Quant data shows WDFC's Other Non-Current Liabilities at $1.46 million (Q2 2026), $1.42 million (Q1 2026) and $1.41 million (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 387.18 Bn | 342.94 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 77.71 Bn | 72.44 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 39.01 Bn | 27.08 Bn | 2.74 Bn |
| 4 | Kenvue | 38.07 Bn | 33.69 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 37.24 Bn | 34.44 Bn | 1.60 Bn |
| 6 | Church & Dwight | 25.71 Bn | 24.24 Bn | 693.90 Mn |
| 7 | Clorox | 10.75 Bn | 9.02 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.95 Bn | 4.61 Bn | 245.00 Mn |
| 10 | Wd 40 | 2.80 Bn | 2.59 Bn | 110.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 1.81 Mn |
| Feb 28, 2026 | 1.46 Mn |
| Nov 30, 2025 | 1.42 Mn |
| Aug 31, 2025 | 1.41 Mn |
| May 31, 2025 | 1.45 Mn |
| Feb 28, 2025 | 1.39 Mn |
| Nov 30, 2024 | 14.45 Mn |
| Aug 31, 2024 | 14.07 Mn |
| May 31, 2024 | 13.74 Mn |
| Feb 29, 2024 | 12.92 Mn |
| Nov 30, 2023 | 12.97 Mn |
| Aug 31, 2023 | 13.07 Mn |
| May 31, 2023 | 11.29 Mn |
| Feb 28, 2023 | 11.33 Mn |
| Nov 30, 2022 | 11.23 Mn |
| Aug 31, 2022 | 11.19 Mn |
| May 31, 2022 | 11.15 Mn |
| Feb 28, 2022 | 11.03 Mn |
| Nov 30, 2021 | 11.47 Mn |
| Aug 31, 2021 | 11.48 Mn |
API Access
Wd 40 Other 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=other-non-current-liabilities&ticker=WDFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "WDFC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();