Wd 40 (WDFC) Short-term Investments (2011 - 2019)
Wd 40 (WDFC) posted Short-term Investments of $224,000 for fiscal Q2 2019 (quarter ended Feb 28, 2019), down 99.7% from $86.91 million a year earlier but up 3.7% from the prior quarter.
Powered by 
Analysis
Wd 40 (WDFC) Short-term Investments (2011 - 2019) Analysis & Trends
At the end of FY2018 (ended Aug 31, 2018), Wd 40's Short-term Investments came in at $219,000, down 99.7% from FY2017.
- Annual Short-term Investments shows a five-year compound annual growth rate of -64.3% (FY2013 to FY2018).
- In prior fiscal years, Wd 40's Short-term Investments was $80.17 million in FY2017 (+39.1%), $57.63 million in FY2016 (+18.6%), $48.6 million in FY2015 (+7.9%) and $45.05 million in FY2014 (+20.1%).
- Quarterly Short-term Investments has run from a low of $216,000 in fiscal Q1 2019 to a high of $86.91 million in fiscal Q2 2018 over five years.
- On a year-over-year basis, Short-term Investments has declined in each of the last four quarters, with an average decline of 35.3% over the last eight quarters.
- The strongest year-over-year quarter for Short-term Investments in the past five years was fiscal Q1 2017, with growth of 41.3%; the weakest was fiscal Q2 2019, with a decline of 99.7%.
- According to Business Quant data, Short-term Investments for the three prior fiscal quarters was $216,000 (Q1 2019), $219,000 (Q4 2018) and $234,000 (Q3 2018).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Procter & Gamble | 383.82 Bn | 335.63 Bn | 11.60 Bn |
| 2 | Colgate Palmolive | 77.64 Bn | 72.70 Bn | 3.30 Bn |
| 3 | Estee Lauder Companies | 39.02 Bn | 27.10 Bn | 2.74 Bn |
| 4 | Kenvue | 38.19 Bn | 33.81 Bn | 2.30 Bn |
| 5 | Kimberly Clark | 37.36 Bn | 34.68 Bn | 1.60 Bn |
| 6 | Church & Dwight | 25.82 Bn | 24.35 Bn | 693.90 Mn |
| 7 | Clorox | 10.72 Bn | 9.16 Bn | 804.00 Mn |
| 8 | e.l.f. Beauty | 6.78 Bn | 5.75 Bn | 398.84 Mn |
| 9 | Reynolds Consumer Products | 4.98 Bn | 4.64 Bn | 245.00 Mn |
| 10 | Wd 40 | 2.82 Bn | 2.61 Bn | 110.42 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Feb 28, 2019 | 224,000.00 |
| Nov 30, 2018 | 216,000.00 |
| Aug 31, 2018 | 219,000.00 |
| May 31, 2018 | 234,000.00 |
| Feb 28, 2018 | 86.91 Mn |
| Nov 30, 2017 | 82.59 Mn |
| Aug 31, 2017 | 80.17 Mn |
| May 31, 2017 | 79.39 Mn |
| Feb 28, 2017 | 67.72 Mn |
| Nov 30, 2016 | 67.34 Mn |
| Aug 31, 2016 | 57.63 Mn |
| May 31, 2016 | 62.68 Mn |
| Feb 29, 2016 | 51.24 Mn |
| Nov 30, 2015 | 47.67 Mn |
| Aug 31, 2015 | 48.60 Mn |
| May 31, 2015 | 48.26 Mn |
| Feb 28, 2015 | 42.06 Mn |
| Nov 30, 2014 | 42.65 Mn |
| Aug 31, 2014 | 45.05 Mn |
| May 31, 2014 | 45.41 Mn |
API Access
Wd 40 Short-term Investments 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=short-term-investments&ticker=WDFC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-investments", "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=short-term-investments&ticker=WDFC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();