Wd 40 (WDFC) Cash & Equivalents (2010 - 2026)
Wd 40 (WDFC) posted Cash & Equivalents of $59.14 million for fiscal Q3 2026 (quarter ended May 31, 2026), up 14.4% from $51.68 million a year earlier and up 17.5% from the prior quarter.
Wd 40 (WDFC) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Wd 40's Cash & Equivalents came in at $58.13 million, up 24.5% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 0.6% (FY2020 to FY2025).
- In prior fiscal years, Wd 40's Cash & Equivalents was $46.7 million in FY2024 (-3.0%), $48.14 million in FY2023 (+27.2%), $37.84 million in FY2022 (-56.0%) and $85.96 million in FY2021 (+52.2%).
- The fiscal Q3 2026 figure stands as the highest quarterly Cash & Equivalents since fiscal Q1 2022.
- On a year-over-year basis, Cash & Equivalents increased in four of the last eight quarters, with growth averaging 4.8%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was fiscal Q4 2021, with growth of 52.2%; the weakest was fiscal Q4 2022, with a decline of 56.0%.
- According to Business Quant data, Cash & Equivalents for the three prior fiscal quarters was $50.35 million (Q2 2026), $48.58 million (Q1 2026) and $58.13 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 387.18 Bn | 342.94 Bn | 10.28 Bn | 9.94 Bn |
| 2 | Colgate Palmolive | 77.71 Bn | 72.44 Bn | 3.30 Bn | 1.37 Bn |
| 3 | Estee Lauder Companies | 39.01 Bn | 27.08 Bn | 2.74 Bn | 3.50 Bn |
| 4 | Kenvue | 38.07 Bn | 33.69 Bn | 2.30 Bn | 1.11 Bn |
| 5 | Kimberly Clark | 37.24 Bn | 34.44 Bn | 1.60 Bn | 956.00 Mn |
| 6 | Church & Dwight | 25.71 Bn | 24.24 Bn | 693.90 Mn | 254.80 Mn |
| 7 | Clorox | 10.75 Bn | 9.02 Bn | 804.00 Mn | 143.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn | 344.24 Mn |
| 9 | Reynolds Consumer Products | 4.95 Bn | 4.61 Bn | 245.00 Mn | 66.00 Mn |
| 10 | Wd 40 | 2.80 Bn | 2.59 Bn | 110.42 Mn | 59.14 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 59.14 Mn |
| Feb 28, 2026 | 50.35 Mn |
| Nov 30, 2025 | 48.58 Mn |
| Aug 31, 2025 | 58.13 Mn |
| May 31, 2025 | 51.68 Mn |
| Feb 28, 2025 | 53.00 Mn |
| Nov 30, 2024 | 54.91 Mn |
| Aug 31, 2024 | 46.70 Mn |
| May 31, 2024 | 45.30 Mn |
| Feb 29, 2024 | 55.44 Mn |
| Nov 30, 2023 | 50.32 Mn |
| Aug 31, 2023 | 48.14 Mn |
| May 31, 2023 | 38.40 Mn |
| Feb 28, 2023 | 37.99 Mn |
| Nov 30, 2022 | 36.88 Mn |
| Aug 31, 2022 | 37.84 Mn |
| May 31, 2022 | 40.80 Mn |
| Feb 28, 2022 | 43.32 Mn |
| Nov 30, 2021 | 59.52 Mn |
| Aug 31, 2021 | 85.96 Mn |
Wd 40 Cash & Equivalents 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=cash-and-equivalents&ticker=WDFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();