Wd 40 (WDFC) Retained Earnings (2011 - 2026)
Wd 40's Retained Earnings was $568.34 million in fiscal Q3 2026 (quarter ended May 31, 2026), up 6.8% from $532.18 million a year earlier and up 3.0% from the prior quarter.
Wd 40 (WDFC) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Retained Earnings at Wd 40 came in at $540.67 million, up 8.1% from FY2024.
- Retained Earnings has now increased for 14 consecutive fiscal years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In earlier fiscal years, Retained Earnings was $499.93 million in FY2024 (+4.7%), $477.49 million in FY2023 (+4.7%), $456.08 million in FY2022 (+5.9%) and $430.74 million in FY2021 (+8.0%).
- The fiscal Q3 2026 figure marks the highest quarterly Retained Earnings in data going back to fiscal Q4 2011.
- Compared with a year earlier, Retained Earnings has increased for 56 straight quarters, with growth averaging 6.5% over the last eight quarters.
- Over the past five years, the year-over-year growth in Retained Earnings ranged from 3.7% (fiscal Q2 2023) to 8.1% (fiscal Q4 2025).
- Per Business Quant data, WDFC's Retained Earnings in the three fiscal quarters before Q3 2026 was $551.89 million (Q2 2026), $545.36 million (Q1 2026) and $540.67 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn | 135.85 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn | 27.09 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn | 11.34 Bn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn | -70.00 Mn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn | 9.77 Bn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn | 7.04 Bn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn | 386.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn | -89.33 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn | 853.00 Mn |
| 10 | Wd 40 | 2.60 Bn | 2.38 Bn | 110.42 Mn | 568.34 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 568.34 Mn |
| Feb 28, 2026 | 551.89 Mn |
| Nov 30, 2025 | 545.36 Mn |
| Aug 31, 2025 | 540.67 Mn |
| May 31, 2025 | 532.18 Mn |
| Feb 28, 2025 | 523.97 Mn |
| Nov 30, 2024 | 506.90 Mn |
| Aug 31, 2024 | 499.93 Mn |
| May 31, 2024 | 495.11 Mn |
| Feb 29, 2024 | 487.23 Mn |
| Nov 30, 2023 | 483.67 Mn |
| Aug 31, 2023 | 477.49 Mn |
| May 31, 2023 | 472.22 Mn |
| Feb 28, 2023 | 464.64 Mn |
| Nov 30, 2022 | 459.44 Mn |
| Aug 31, 2022 | 456.08 Mn |
| May 31, 2022 | 451.96 Mn |
| Feb 28, 2022 | 448.18 Mn |
| Nov 30, 2021 | 439.39 Mn |
| Aug 31, 2021 | 430.74 Mn |
Wd 40 Retained Earnings 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=retained-earnings&ticker=WDFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();