H2O America (HTO) Inventory (2010 - 2015)
H2O America (HTO) posted Inventory of $1.3 million for Q2 2015, up 16.9% from $1.11 million a year earlier and up 4.1% from the prior quarter.
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Analysis
H2O America (HTO) Inventory (2010 - 2015) Analysis & Trends
At the end of FY2014, H2O America's Inventory came in at $1.21 million, up 16.2% from FY2013.
- Annual Inventory shows a four-year compound annual growth rate of 5.3% (FY2010 to FY2014).
- In prior years, H2O America's Inventory was $1.05 million in FY2013 (-4.0%), $1.09 million in FY2012 (+9.8%), $991,000 in FY2011 (+0.2%) and $989,000 in FY2010.
- The Q2 2015 figure stands as the highest quarterly Inventory in data going back to Q4 2010.
- On a year-over-year basis, Inventory has increased in each of the last six quarters, with growth averaging 8.1% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q2 2015, with growth of 16.9%; the weakest was Q4 2013, with a decline of 4.0%.
- According to Business Quant data, Inventory for the three prior quarters was $1.25 million (Q1 2015), $1.21 million (Q4 2014) and $1.14 million (Q3 2014).
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2015 | 1.30 Mn |
| Mar 31, 2015 | 1.25 Mn |
| Dec 31, 2014 | 1.21 Mn |
| Sep 30, 2014 | 1.14 Mn |
| Jun 30, 2014 | 1.11 Mn |
| Mar 31, 2014 | 1.11 Mn |
| Dec 31, 2013 | 1.05 Mn |
| Sep 30, 2013 | 1.04 Mn |
| Jun 30, 2013 | 1.05 Mn |
| Mar 31, 2013 | 1.05 Mn |
| Dec 31, 2012 | 1.09 Mn |
| Sep 30, 2012 | 1.03 Mn |
| Jun 30, 2012 | 1.09 Mn |
| Mar 31, 2012 | 1.02 Mn |
| Dec 31, 2011 | 991,000.00 |
| Sep 30, 2011 | 989,000.00 |
| Jun 30, 2011 | 972,000.00 |
| Dec 31, 2010 | 989,000.00 |
API Access
H2O America Inventory 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=inventory&ticker=HTO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "HTO", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=HTO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();