Wd 40 (WDFC) EBT (2010 - 2026)
Wd 40's EBT was $39.57 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 44.1% from $27.46 million a year earlier and up 53.1% from the prior quarter.
Wd 40 (WDFC) EBT (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wd 40's EBT was $115.49 million through May 31, 2026, up 19.1% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $101.63 million, up 11.1% from FY2024.
- EBT has now increased for three consecutive fiscal years, with a five-year compound annual growth rate of 6.1% (FY2020 to FY2025).
- In earlier fiscal years, EBT was $91.51 million in FY2024 (+7.5%), $85.16 million in FY2023 (+1.3%), $84.11 million in FY2022 (-2.8%) and $86.5 million in FY2021 (+14.5%).
- The fiscal Q3 2026 figure marks the highest quarterly EBT in data going back to fiscal Q1 2011.
- Compared with a year earlier, EBT was higher in seven of the last eight quarters, with growth averaging 12.5%.
- The best year-over-year quarter for EBT over five years was fiscal Q4 2022 (growth of 60.9%); the worst was fiscal Q4 2021 (a decline of 54.1%).
- Per Business Quant data, WDFC's EBT in the three fiscal quarters before Q3 2026 was $25.85 million (Q2 2026), $22.59 million (Q1 2026) and $27.47 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBT (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 387.18 Bn | 342.94 Bn | 10.28 Bn | 3.93 Bn |
| 2 | Colgate Palmolive | 77.71 Bn | 72.44 Bn | 3.30 Bn | 950.00 Mn |
| 3 | Estee Lauder Companies | 39.01 Bn | 27.08 Bn | 2.74 Bn | -104.00 Mn |
| 4 | Kenvue | 38.07 Bn | 33.69 Bn | 2.30 Bn | 598.00 Mn |
| 5 | Kimberly Clark | 37.24 Bn | 34.44 Bn | 1.60 Bn | 572.00 Mn |
| 6 | Church & Dwight | 25.71 Bn | 24.24 Bn | 693.90 Mn | 255.90 Mn |
| 7 | Clorox | 10.75 Bn | 9.02 Bn | 804.00 Mn | 213.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn | 94.30 Mn |
| 9 | Reynolds Consumer Products | 4.95 Bn | 4.61 Bn | 245.00 Mn | 116.00 Mn |
| 10 | Wd 40 | 2.80 Bn | 2.59 Bn | 110.42 Mn | 39.57 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 39.57 Mn |
| Feb 28, 2026 | 25.85 Mn |
| Nov 30, 2025 | 22.59 Mn |
| Aug 31, 2025 | 27.47 Mn |
| May 31, 2025 | 27.46 Mn |
| Feb 28, 2025 | 22.44 Mn |
| Nov 30, 2024 | 24.26 Mn |
| Aug 31, 2024 | 22.78 Mn |
| May 31, 2024 | 25.85 Mn |
| Feb 29, 2024 | 19.81 Mn |
| Nov 30, 2023 | 23.07 Mn |
| Aug 31, 2023 | 22.22 Mn |
| May 31, 2023 | 24.37 Mn |
| Feb 28, 2023 | 20.87 Mn |
| Nov 30, 2022 | 17.70 Mn |
| Aug 31, 2022 | 18.27 Mn |
| May 31, 2022 | 18.30 Mn |
| Feb 28, 2022 | 24.40 Mn |
| Nov 30, 2021 | 23.14 Mn |
| Aug 31, 2021 | 11.35 Mn |
Wd 40 EBT 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=ebt&ticker=WDFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt", "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=ebt&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();