Wd 40 (WDFC) Tax Provisions (2010 - 2026)
Wd 40's Tax Provisions was $9.36 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 44.3% from $6.49 million a year earlier and up 69.0% from the prior quarter.
Wd 40 (WDFC) Tax Provisions (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wd 40's Tax Provisions was $26.26 million through May 31, 2026, up 152.4% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $10.63 million, down 51.4% from FY2024.
- Tax Provisions shows a five-year compound annual growth rate of -6.4% (FY2020 to FY2025).
- In earlier fiscal years, Tax Provisions was $21.86 million in FY2024 (+14.1%), $19.17 million in FY2023 (+14.2%), $16.78 million in FY2022 (+3.1%) and $16.27 million in FY2021 (+9.9%).
- The fiscal Q3 2026 figure marks the highest quarterly Tax Provisions since fiscal Q4 2019.
- Compared with a year earlier, Tax Provisions was higher in four of the last six quarters, with growth averaging 9.0%.
- The best year-over-year quarter for Tax Provisions over five years was fiscal Q4 2023 (growth of 62.1%); the worst was fiscal Q4 2021 (a decline of 42.1%).
- Per Business Quant data, WDFC's Tax Provisions in the three fiscal quarters before Q3 2026 was $5.54 million (Q2 2026), $5.14 million (Q1 2026) and $6.23 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 852.00 Mn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 231.00 Mn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | 12.00 Mn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | 142.00 Mn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn | 217.00 Mn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | 53.10 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | 46.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | 27.70 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | 27.00 Mn |
| 10 | Wd 40 | 2.60 Bn | 2.38 Bn | 110.42 Mn | 9.36 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 9.36 Mn |
| Feb 28, 2026 | 5.54 Mn |
| Nov 30, 2025 | 5.14 Mn |
| Aug 31, 2025 | 6.23 Mn |
| May 31, 2025 | 6.49 Mn |
| Feb 28, 2025 | -7.41 Mn |
| Nov 30, 2024 | 5.33 Mn |
| Aug 31, 2024 | 6.00 Mn |
| May 31, 2024 | 6.01 Mn |
| Feb 29, 2024 | 4.27 Mn |
| Nov 30, 2023 | 5.59 Mn |
| Aug 31, 2023 | 5.65 Mn |
| May 31, 2023 | 5.48 Mn |
| Feb 28, 2023 | 4.34 Mn |
| Nov 30, 2022 | 3.71 Mn |
| Aug 31, 2022 | 3.48 Mn |
| May 31, 2022 | 3.82 Mn |
| Feb 28, 2022 | 4.90 Mn |
| Nov 30, 2021 | 4.58 Mn |
| Aug 31, 2021 | 2.95 Mn |
Wd 40 Tax Provisions 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=tax-provisions&ticker=WDFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();