Wd 40 (WDFC) Property, Plant & Equipment (Net) (2011 - 2026)
Wd 40 (WDFC) reported Property, Plant & Equipment (Net) of $58.29 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 3.0% from $60.1 million a year earlier and down 1.2% from the prior quarter.
Wd 40 (WDFC) Property, Plant & Equipment (Net) (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Aug 31, 2025), Wd 40 posted Property, Plant & Equipment (Net) of $60.39 million, down 4.1% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- By fiscal year, Property, Plant & Equipment (Net) came in at $62.98 million in FY2024 (-5.7%), $66.79 million in FY2023 (+1.2%), $65.98 million in FY2022 (-5.9%) and $70.15 million in FY2021 (+15.4%).
- The fiscal Q3 2026 figure ranks as the lowest quarterly Property, Plant & Equipment (Net) since fiscal Q3 2020.
- Year over year, Property, Plant & Equipment (Net) gained in 1 of the last eight quarters, with an average decline of 4.8%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was fiscal Q4 2021 (growth of 15.4%); the low point was fiscal Q1 2025 (a decline of 9.6%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $58.97 million (Q2 2026), $58.67 million (Q1 2026) and $60.39 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 374.16 Bn | 325.72 Bn | 11.60 Bn | 25.52 Bn |
| 2 | Colgate Palmolive | 75.00 Bn | 69.73 Bn | 3.30 Bn | 4.64 Bn |
| 3 | Estee Lauder Companies | 39.27 Bn | 27.35 Bn | 2.74 Bn | 2.81 Bn |
| 4 | Kenvue | 37.55 Bn | 33.16 Bn | 2.30 Bn | 2.23 Bn |
| 5 | Kimberly Clark | 36.60 Bn | 33.79 Bn | 1.60 Bn | 6.95 Bn |
| 6 | Church & Dwight | 24.91 Bn | 23.44 Bn | 693.90 Mn | 826.50 Mn |
| 7 | Clorox | 10.52 Bn | 8.80 Bn | 804.00 Mn | 1.51 Bn |
| 8 | e.l.f. Beauty | 6.74 Bn | 5.71 Bn | 398.84 Mn | 39.69 Mn |
| 9 | Reynolds Consumer Products | 4.85 Bn | 4.51 Bn | 245.00 Mn | 855.00 Mn |
| 10 | Wd 40 | 2.84 Bn | 2.62 Bn | 110.42 Mn | 58.29 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 58.29 Mn |
| Feb 28, 2026 | 58.97 Mn |
| Nov 30, 2025 | 58.67 Mn |
| Aug 31, 2025 | 60.39 Mn |
| May 31, 2025 | 60.10 Mn |
| Feb 28, 2025 | 58.63 Mn |
| Nov 30, 2024 | 59.38 Mn |
| Aug 31, 2024 | 62.98 Mn |
| May 31, 2024 | 63.90 Mn |
| Feb 29, 2024 | 64.58 Mn |
| Nov 30, 2023 | 65.70 Mn |
| Aug 31, 2023 | 66.79 Mn |
| May 31, 2023 | 66.64 Mn |
| Feb 28, 2023 | 65.79 Mn |
| Nov 30, 2022 | 65.66 Mn |
| Aug 31, 2022 | 65.98 Mn |
| May 31, 2022 | 69.16 Mn |
| Feb 28, 2022 | 69.33 Mn |
| Nov 30, 2021 | 68.98 Mn |
| Aug 31, 2021 | 70.15 Mn |
Wd 40 Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=WDFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();