Wd 40 (WDFC) Other Operating Expenses (2010 - 2026)
Wd 40's Other Operating Expenses came in at $13.4 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 45.6% from $9.21 million a year earlier and up 51.1% from the prior quarter.
Wd 40 (WDFC) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to May 31, 2026, Wd 40 reported Other Operating Expenses of $43.03 million, up 18.7% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $37.61 million, up 7.4% from FY2024.
- Other Operating Expenses has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 10.9% (FY2020 to FY2025).
- Going back by fiscal year, Other Operating Expenses was $35.02 million in FY2024 (+17.5%), $29.81 million in FY2023 (+13.5%), $26.28 million in FY2022 (-6.8%) and $28.21 million in FY2021 (+25.8%).
- The fiscal Q3 2026 figure represents the highest quarterly Other Operating Expenses in data going back to fiscal Q1 2011.
- Year-over-year, Other Operating Expenses increased in six of the last eight quarters, with growth averaging 13.0%.
- The fastest year-over-year change in Other Operating Expenses over five years came in fiscal Q4 2021 (growth of 57.7%), and the weakest in fiscal Q3 2022 (a decline of 8.9%).
- Business Quant data shows WDFC's Other Operating Expenses at $8.87 million (Q2 2026), $8.24 million (Q1 2026) and $12.52 million (Q4 2025) in the three fiscal quarters before Q3 2026.
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
| Date | Value |
|---|---|
| May 31, 2026 | 13.40 Mn |
| Feb 28, 2026 | 8.87 Mn |
| Nov 30, 2025 | 8.24 Mn |
| Aug 31, 2025 | 12.52 Mn |
| May 31, 2025 | 9.21 Mn |
| Feb 28, 2025 | 7.45 Mn |
| Nov 30, 2024 | 8.44 Mn |
| Aug 31, 2024 | 11.16 Mn |
| May 31, 2024 | 9.65 Mn |
| Feb 29, 2024 | 6.98 Mn |
| Nov 30, 2023 | 7.23 Mn |
| Aug 31, 2023 | 10.08 Mn |
| May 31, 2023 | 7.91 Mn |
| Feb 28, 2023 | 6.24 Mn |
| Nov 30, 2022 | 5.59 Mn |
| Aug 31, 2022 | 10.45 Mn |
| May 31, 2022 | 6.38 Mn |
| Feb 28, 2022 | 5.96 Mn |
| Nov 30, 2021 | 5.99 Mn |
| Aug 31, 2021 | 10.65 Mn |
Wd 40 Other 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=other-operating-expenses&ticker=WDFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();