Wd 40 (WDFC) Sales of Property, Plant and Equipment (2010 - 2026)
Wd 40 (WDFC) reported Sales of Property, Plant and Equipment of $177,000 for fiscal Q3 2026 (quarter ended May 31, 2026), up 145.8% from $72,000 a year earlier and up 2.9% from the prior quarter.
Wd 40 (WDFC) Sales of Property, Plant and Equipment (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Wd 40's Sales of Property, Plant and Equipment came in at $625,000, up 14.9% year-over-year; for FY2025 (ended Aug 31, 2025), it came in at $409,000, down 39.1% from FY2024.
- Sales of Property, Plant and Equipment has a five-year compound annual growth rate of 2.5% (FY2020 to FY2025).
- By fiscal year, Sales of Property, Plant and Equipment came in at $672,000 in FY2024 (+2.6%), $655,000 in FY2023 (+7.0%), $612,000 in FY2022 (+2.2%) and $599,000 in FY2021 (+65.5%).
- Five-year quarterly Sales of Property, Plant and Equipment spans a low of $72,000 in fiscal Q1 2022 and a high of $235,000 in fiscal Q4 2022.
- Year over year, Sales of Property, Plant and Equipment has now increased in each of the last three quarters, with growth averaging 12.5% over the last eight quarters.
- The high point for year-over-year Sales of Property, Plant and Equipment in five years was fiscal Q4 2021 (growth of 341.5%); the low point was fiscal Q4 2025 (a decline of 62.8%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $172,000 (Q2 2026), $196,000 (Q1 2026) and $80,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 373.44 Bn | 325.24 Bn | 11.60 Bn | 27.00 Mn |
| 2 | Colgate Palmolive | 74.95 Bn | 70.01 Bn | 3.30 Bn | - |
| 3 | Estee Lauder Companies | 39.37 Bn | 27.45 Bn | 2.74 Bn | - |
| 4 | Kenvue | 37.58 Bn | 33.19 Bn | 2.30 Bn | - |
| 5 | Kimberly Clark | 36.64 Bn | 33.96 Bn | 1.60 Bn | 1.00 Mn |
| 6 | Church & Dwight | 24.96 Bn | 23.48 Bn | 693.90 Mn | - |
| 7 | Clorox | 10.45 Bn | 8.89 Bn | 804.00 Mn | - |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.70 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.85 Bn | 4.52 Bn | 245.00 Mn | - |
| 10 | Wd 40 | 2.86 Bn | 2.64 Bn | 110.42 Mn | 177,000.00 |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 177,000.00 |
| Feb 28, 2026 | 172,000.00 |
| Nov 30, 2025 | 196,000.00 |
| Aug 31, 2025 | 80,000.00 |
| May 31, 2025 | 72,000.00 |
| Feb 28, 2025 | 133,000.00 |
| Nov 30, 2024 | 124,000.00 |
| Aug 31, 2024 | 215,000.00 |
| May 31, 2024 | 108,000.00 |
| Feb 29, 2024 | 234,000.00 |
| Nov 30, 2023 | 115,000.00 |
| Aug 31, 2023 | 218,000.00 |
| May 31, 2023 | 147,000.00 |
| Feb 28, 2023 | 132,000.00 |
| Nov 30, 2022 | 158,000.00 |
| Aug 31, 2022 | 235,000.00 |
| May 31, 2022 | 88,000.00 |
| Feb 28, 2022 | 217,000.00 |
| Nov 30, 2021 | 72,000.00 |
| Aug 31, 2021 | 181,000.00 |
Wd 40 Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=WDFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();