Wd 40 (WDFC) Operating Expenses (2010 - 2026)
Wd 40 (WDFC) posted Operating Expenses of $70.09 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 15.4% from $60.75 million a year earlier and up 10.1% from the prior quarter.
Wd 40 (WDFC) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, Operating Expenses at Wd 40 was $258.72 million, up 9.4% year-over-year; for FY2025 (ended Aug 31, 2025), it was $237.55 million, up 8.5% from FY2024.
- Annual Operating Expenses has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In prior fiscal years, Wd 40's Operating Expenses was $218.88 million in FY2024 (+18.6%), $184.5 million in FY2023 (+10.2%), $167.44 million in FY2022 (-4.3%) and $174.9 million in FY2021 (+20.0%).
- The fiscal Q3 2026 figure stands as the highest quarterly Operating Expenses in data going back to fiscal Q1 2011.
- On a year-over-year basis, Operating Expenses has increased in each of the last 15 quarters, with growth averaging 11.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2024, with growth of 23.3%; the weakest was fiscal Q3 2022, with a decline of 11.4%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $63.65 million (Q2 2026), $63.57 million (Q1 2026) and $61.4 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 6.33 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 2.13 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | 2.78 Bn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | 1.60 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 | 252.20 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | 330.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 280.32 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | 107.00 Mn |
| 10 | Wd 40 | 2.60 Bn | 2.38 Bn | 110.42 Mn | 70.09 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 70.09 Mn |
| Feb 28, 2026 | 63.65 Mn |
| Nov 30, 2025 | 63.57 Mn |
| Aug 31, 2025 | 61.40 Mn |
| May 31, 2025 | 60.75 Mn |
| Feb 28, 2025 | 56.44 Mn |
| Nov 30, 2024 | 58.97 Mn |
| Aug 31, 2024 | 60.30 Mn |
| May 31, 2024 | 55.21 Mn |
| Feb 29, 2024 | 52.00 Mn |
| Nov 30, 2023 | 51.37 Mn |
| Aug 31, 2023 | 48.89 Mn |
| May 31, 2023 | 46.11 Mn |
| Feb 28, 2023 | 43.93 Mn |
| Nov 30, 2022 | 45.58 Mn |
| Aug 31, 2022 | 42.25 Mn |
| May 31, 2022 | 40.00 Mn |
| Feb 28, 2022 | 40.78 Mn |
| Nov 30, 2021 | 44.41 Mn |
| Aug 31, 2021 | 46.56 Mn |
Wd 40 Operating 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=operating-expenses&ticker=WDFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();