Wd 40 (WDFC) Change in Taxes (2010 - 2017)
Wd 40's Change in Taxes was -$492,000 in fiscal Q1 2018 (quarter ended Nov 30, 2017), compared with $2.62 million a year earlier.
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Analysis
Wd 40 (WDFC) Change in Taxes (2010 - 2017) Analysis & Trends
On a trailing twelve-month basis, Wd 40's Change in Taxes was -$2.51 million through Nov 30, 2017; for FY2017 (ended Aug 31, 2017), it was $605,000, down 85.7% from FY2016.
- Change in Taxes shows a five-year compound annual growth rate of -15.6% (FY2012 to FY2017).
- In earlier fiscal years, Change in Taxes was $4.24 million in FY2016 (+54.7%), $2.74 million in FY2015 (+36.8%), $2 million in FY2014 (-12.4%) and $2.28 million in FY2013 (+61.8%).
- Quarterly Change in Taxes has moved between -$2.38 million (fiscal Q2 2015) and $3.05 million (fiscal Q1 2014) over five years.
- The best year-over-year quarter for Change in Taxes over five years was fiscal Q4 2015 (growth of 821.2%); the worst was fiscal Q4 2014 (a decline of 64.1%).
- Per Business Quant data, WDFC's Change in Taxes in the three fiscal quarters before Q1 2018 was -$97,000 (Q4 2017), -$1.6 million (Q3 2017) and -$317,000 (Q2 2017).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Procter & Gamble | 386.01 Bn | 341.76 Bn | 10.28 Bn | - |
| 2 | Colgate Palmolive | 76.81 Bn | 71.53 Bn | 3.30 Bn | - |
| 3 | Estee Lauder Companies | 38.16 Bn | 26.23 Bn | 2.74 Bn | - |
| 4 | Kenvue | 37.22 Bn | 32.83 Bn | 2.30 Bn | -48.00 Mn |
| 5 | Kimberly Clark | 36.22 Bn | 33.42 Bn | 1.60 Bn | - |
| 6 | Church & Dwight | 25.25 Bn | 23.77 Bn | 693.90 Mn | -33.00 Mn |
| 7 | Clorox | 10.51 Bn | 8.79 Bn | 804.00 Mn | 76.00 Mn |
| 8 | e.l.f. Beauty | 6.69 Bn | 5.67 Bn | 398.84 Mn | - |
| 9 | Reynolds Consumer Products | 4.85 Bn | 4.51 Bn | 245.00 Mn | -31.00 Mn |
| 10 | Wd 40 | 2.69 Bn | 2.47 Bn | 110.42 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Nov 30, 2017 | -492,000.00 |
| Aug 31, 2017 | -97,000.00 |
| May 31, 2017 | -1.60 Mn |
| Feb 28, 2017 | -317,000.00 |
| Nov 30, 2016 | 2.62 Mn |
| Aug 31, 2016 | 941,000.00 |
| May 31, 2016 | -52,000.00 |
| Feb 29, 2016 | 943,000.00 |
| Nov 30, 2015 | 2.40 Mn |
| Aug 31, 2015 | 2.61 Mn |
| May 31, 2015 | -188,000.00 |
| Feb 28, 2015 | -2.38 Mn |
| Nov 30, 2014 | 2.70 Mn |
| Aug 31, 2014 | 283,000.00 |
| May 31, 2014 | -1.03 Mn |
| Feb 28, 2014 | -308,000.00 |
| Nov 30, 2013 | 3.05 Mn |
| Aug 31, 2013 | 789,000.00 |
| May 31, 2013 | -1.12 Mn |
| Feb 28, 2013 | -589,000.00 |
API Access
Wd 40 Change in Taxes 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=change-in-taxes&ticker=WDFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();