Wd 40 (WDFC) Finished Goods (2011 - 2023)
Wd 40's Finished Goods came in at $84.08 million for fiscal Q2 2023 (quarter ended Feb 28, 2023), up 54.5% from $54.41 million a year earlier but down 11.4% from the prior quarter.
Wd 40 (WDFC) Finished Goods (2011 - 2023) Analysis & Trends
At the end of FY2022 (ended Aug 31, 2022), Wd 40's Finished Goods was $81.35 million, up 120.3% from FY2021.
- Finished Goods carries a five-year compound annual growth rate of 22.8% (FY2017 to FY2022).
- Going back by fiscal year, Finished Goods was $36.93 million in FY2021 (+17.4%), $31.45 million in FY2020 (-4.4%), $32.88 million in FY2019 (+11.3%) and $29.56 million in FY2018 (+1.6%).
- The five-year range for quarterly Finished Goods is $29.56 million (fiscal Q4 2018) to $94.94 million (fiscal Q1 2023).
- Year-over-year, Finished Goods has increased for seven consecutive quarters, with growth averaging 68.3% over the last eight quarters.
- The fastest year-over-year change in Finished Goods over five years came in fiscal Q3 2022 (growth of 126.0%), and the weakest in fiscal Q1 2021 (a decline of 10.2%).
- Business Quant data shows WDFC's Finished Goods at $94.94 million (Q1 2023), $81.35 million (Q4 2022) and $72.33 million (Q3 2022) in the three fiscal quarters before Q2 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 367.14 Bn | 322.89 Bn | 10.28 Bn |
| 2 | Colgate Palmolive | 74.80 Bn | 69.53 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 37.60 Bn | 25.67 Bn | 2.74 Bn |
| 4 | Kenvue | 36.63 Bn | 32.25 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 35.53 Bn | 32.72 Bn | 1.60 Bn |
| 6 | Church & Dwight | 24.88 Bn | 23.41 Bn | 693.90 Mn |
| 7 | Clorox | 10.33 Bn | 8.61 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.73 Bn | 5.71 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.77 Bn | 4.44 Bn | 245.00 Mn |
| 10 | Wd 40 | 2.60 Bn | 2.38 Bn | 110.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2023 | 84.08 Mn |
| Nov 30, 2022 | 94.94 Mn |
| Aug 31, 2022 | 81.35 Mn |
| May 31, 2022 | 72.33 Mn |
| Feb 28, 2022 | 54.41 Mn |
| Nov 30, 2021 | 46.18 Mn |
| Aug 31, 2021 | 36.93 Mn |
| May 31, 2021 | 32.00 Mn |
| Feb 28, 2021 | 31.50 Mn |
| Nov 30, 2020 | 30.46 Mn |
| Aug 31, 2020 | 31.45 Mn |
| May 31, 2020 | 32.66 Mn |
| Feb 29, 2020 | 33.25 Mn |
| Nov 30, 2019 | 33.92 Mn |
| Aug 31, 2019 | 32.88 Mn |
| May 31, 2019 | 33.45 Mn |
| Feb 28, 2019 | 36.33 Mn |
| Nov 30, 2018 | 31.59 Mn |
| Aug 31, 2018 | 29.56 Mn |
| May 31, 2018 | 30.65 Mn |
Wd 40 Finished Goods 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=finished-goods&ticker=WDFC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();