Wd 40 (WDFC) EBITDA (2010 - 2026)
Wd 40 (WDFC) posted EBITDA of $44.17 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 47.7% from $29.9 million a year earlier and up 51.5% from the prior quarter.
Wd 40 (WDFC) EBITDA (2010 - 2026) Analysis & Trends
For the trailing twelve months through May 31, 2026, EBITDA at Wd 40 was $129.61 million, up 17.7% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $113.67 million, up 6.2% from FY2024.
- Annual EBITDA has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- In prior fiscal years, Wd 40's EBITDA was $107.03 million in FY2024 (+9.1%), $98.15 million in FY2023 (+2.3%), $95.92 million in FY2022 (+0.1%) and $95.86 million in FY2021 (+12.9%).
- The fiscal Q3 2026 figure stands as the highest quarterly EBITDA in data going back to fiscal Q1 2011.
- On a year-over-year basis, EBITDA increased in six of the last eight quarters, with growth averaging 10.8%.
- The strongest year-over-year quarter for EBITDA in the past five years was fiscal Q4 2022, with growth of 52.5%; the weakest was fiscal Q4 2021, with a decline of 45.8%.
- According to Business Quant data, EBITDA for the three prior fiscal quarters was $29.16 million (Q2 2026), $25.77 million (Q1 2026) and $30.51 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 4.76 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 1.17 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | 159.00 Mn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | 844.00 Mn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn | 800.00 Mn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | 383.00 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | 552.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 129.02 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | 170.00 Mn |
| 10 | Wd 40 | 2.60 Bn | 2.38 Bn | 110.42 Mn | 44.17 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 44.17 Mn |
| Feb 28, 2026 | 29.16 Mn |
| Nov 30, 2025 | 25.77 Mn |
| Aug 31, 2025 | 30.51 Mn |
| May 31, 2025 | 29.90 Mn |
| Feb 28, 2025 | 25.69 Mn |
| Nov 30, 2024 | 27.61 Mn |
| Aug 31, 2024 | 26.89 Mn |
| May 31, 2024 | 30.02 Mn |
| Feb 29, 2024 | 23.62 Mn |
| Nov 30, 2023 | 26.50 Mn |
| Aug 31, 2023 | 25.51 Mn |
| May 31, 2023 | 27.79 Mn |
| Feb 28, 2023 | 24.12 Mn |
| Nov 30, 2022 | 20.58 Mn |
| Aug 31, 2022 | 21.70 Mn |
| May 31, 2022 | 21.04 Mn |
| Feb 28, 2022 | 26.84 Mn |
| Nov 30, 2021 | 26.05 Mn |
| Aug 31, 2021 | 14.23 Mn |
Wd 40 EBITDA 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=ebitda&ticker=WDFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();