Wd 40 (WDFC) Total Liabilities (2011 - 2026)
Wd 40 (WDFC) recorded Total Liabilities of $221.09 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 11.2% from $198.89 million a year earlier and up 8.0% from the prior quarter.
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Analysis
Wd 40 (WDFC) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Wd 40 reported Total Liabilities of $207.66 million, down 5.0% from FY2024.
- Annual Total Liabilities has declined for three straight fiscal years, though with a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $218.51 million in FY2024 (-4.1%), $227.79 million in FY2023 (-7.3%), $245.67 million in FY2022 (+6.9%) and $229.82 million in FY2021 (+13.6%).
- The fiscal Q3 2026 figure is the highest quarterly Total Liabilities since fiscal Q3 2024.
- On a year-over-year basis, Total Liabilities rose in two of the last eight quarters, with an average decline of 3.3%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 13.6% in fiscal Q4 2021, against a decline of 14.2% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $204.79 million (Q2 2026), $195.6 million (Q1 2026) and $207.66 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 72.21 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 16.22 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | 15.96 Bn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | 16.18 Bn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn | 16.68 Bn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | 4.76 Bn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | 7.54 Bn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 1.29 Bn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | 2.77 Bn |
| 10 | Wd 40 | 2.60 Bn | 2.38 Bn | 110.42 Mn | 221.09 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 221.09 Mn |
| Feb 28, 2026 | 204.79 Mn |
| Nov 30, 2025 | 195.60 Mn |
| Aug 31, 2025 | 207.66 Mn |
| May 31, 2025 | 198.89 Mn |
| Feb 28, 2025 | 216.12 Mn |
| Nov 30, 2024 | 221.03 Mn |
| Aug 31, 2024 | 218.51 Mn |
| May 31, 2024 | 221.37 Mn |
| Feb 29, 2024 | 225.74 Mn |
| Nov 30, 2023 | 214.67 Mn |
| Aug 31, 2023 | 227.79 Mn |
| May 31, 2023 | 232.22 Mn |
| Feb 28, 2023 | 253.07 Mn |
| Nov 30, 2022 | 250.12 Mn |
| Aug 31, 2022 | 245.67 Mn |
| May 31, 2022 | 233.89 Mn |
| Feb 28, 2022 | 224.30 Mn |
| Nov 30, 2021 | 223.04 Mn |
| Aug 31, 2021 | 229.82 Mn |
API Access
Wd 40 Total 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-liabilities&ticker=WDFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-liabilities&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();