Wd 40 (WDFC) Other Accumulated Expenses (2011 - 2023)
Wd 40's Other Accumulated Expenses came in at $14.06 million for fiscal Q2 2023 (quarter ended Feb 28, 2023), up 14.3% from $12.31 million a year earlier and up 5.8% from the prior quarter.
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Analysis
Wd 40 (WDFC) Other Accumulated Expenses (2011 - 2023) Analysis & Trends
At the end of FY2022 (ended Aug 31, 2022), Wd 40's Other Accumulated Expenses was $13.56 million, up 15.0% from FY2021.
- Other Accumulated Expenses has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 4.5% (FY2017 to FY2022).
- Going back by fiscal year, Other Accumulated Expenses was $11.8 million in FY2021 (+9.4%), $10.79 million in FY2020 (+3.3%), $10.44 million in FY2019 (-12.8%) and $11.97 million in FY2018 (+9.9%).
- The fiscal Q2 2023 figure represents the highest quarterly Other Accumulated Expenses in data going back to fiscal Q4 2011.
- Year-over-year, Other Accumulated Expenses has increased for three consecutive quarters, with growth averaging 11.4% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q3 2021 (growth of 31.1%), and the weakest in fiscal Q2 2020 (a decline of 15.4%).
- Business Quant data shows WDFC's Other Accumulated Expenses at $13.29 million (Q1 2023), $13.56 million (Q4 2022) and $12.59 million (Q3 2022) in the three fiscal quarters before Q2 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 374.16 Bn | 325.72 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 75.00 Bn | 69.73 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 39.27 Bn | 27.35 Bn | 2.74 Bn |
| 4 | Kenvue | 37.55 Bn | 33.16 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 36.60 Bn | 33.79 Bn | 1.60 Bn |
| 6 | Church & Dwight | 24.91 Bn | 23.44 Bn | 693.90 Mn |
| 7 | Clorox | 10.52 Bn | 8.80 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.74 Bn | 5.71 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.85 Bn | 4.51 Bn | 245.00 Mn |
| 10 | Wd 40 | 2.84 Bn | 2.62 Bn | 110.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2023 | 14.06 Mn |
| Nov 30, 2022 | 13.29 Mn |
| Aug 31, 2022 | 13.56 Mn |
| May 31, 2022 | 12.59 Mn |
| Feb 28, 2022 | 12.31 Mn |
| Nov 30, 2021 | 11.60 Mn |
| Aug 31, 2021 | 11.80 Mn |
| May 31, 2021 | 12.85 Mn |
| Feb 28, 2021 | 12.07 Mn |
| Nov 30, 2020 | 10.81 Mn |
| Aug 31, 2020 | 10.79 Mn |
| May 31, 2020 | 9.80 Mn |
| Feb 29, 2020 | 9.58 Mn |
| Nov 30, 2019 | 10.25 Mn |
| Aug 31, 2019 | 10.44 Mn |
| May 31, 2019 | 10.25 Mn |
| Feb 28, 2019 | 11.32 Mn |
| Nov 30, 2018 | 10.47 Mn |
| Aug 31, 2018 | 11.97 Mn |
| May 31, 2018 | 11.90 Mn |
API Access
Wd 40 Other Accumulated Expenses 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=other-accumulated-expenses&ticker=WDFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();