Wd 40 (WDFC) Accumulated Expenses (2011 - 2026)
Wd 40 (WDFC) posted Accumulated Expenses of $33.9 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 16.5% from $29.09 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Wd 40 (WDFC) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Wd 40's Accumulated Expenses came in at $34.23 million, up 9.5% from FY2024.
- Annual Accumulated Expenses has increased for six consecutive fiscal years, with a five-year compound annual growth rate of 9.6% (FY2020 to FY2025).
- In prior fiscal years, Wd 40's Accumulated Expenses was $31.27 million in FY2024 (+4.2%), $30 million in FY2023 (+10.5%), $27.16 million in FY2022 (+5.9%) and $25.66 million in FY2021 (+18.5%).
- Quarterly Accumulated Expenses has run from a low of $24.73 million in fiscal Q1 2023 to a high of $34.23 million in fiscal Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last four quarters, with growth averaging 4.8% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q4 2021, with growth of 18.5%; the weakest was fiscal Q1 2023, with a decline of 5.7%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $32.86 million (Q2 2026), $29.49 million (Q1 2026) and $34.23 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn |
| 10 | Wd 40 | 2.60 Bn | 2.38 Bn | 110.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 33.90 Mn |
| Feb 28, 2026 | 32.86 Mn |
| Nov 30, 2025 | 29.49 Mn |
| Aug 31, 2025 | 34.23 Mn |
| May 31, 2025 | 29.09 Mn |
| Feb 28, 2025 | 30.60 Mn |
| Nov 30, 2024 | 29.13 Mn |
| Aug 31, 2024 | 31.27 Mn |
| May 31, 2024 | 29.70 Mn |
| Feb 29, 2024 | 31.71 Mn |
| Nov 30, 2023 | 27.79 Mn |
| Aug 31, 2023 | 30.00 Mn |
| May 31, 2023 | 27.14 Mn |
| Feb 28, 2023 | 28.43 Mn |
| Nov 30, 2022 | 24.73 Mn |
| Aug 31, 2022 | 27.16 Mn |
| May 31, 2022 | 26.06 Mn |
| Feb 28, 2022 | 28.13 Mn |
| Nov 30, 2021 | 26.21 Mn |
| Aug 31, 2021 | 25.66 Mn |
API Access
Wd 40 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=WDFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();