Hain Celestial (HAIN) Buildings (2010 - 2016)
Hain Celestial (HAIN) reported Buildings of $103.14 million for fiscal Q3 2016 (quarter ended Mar 31, 2016), up 23.8% from $83.3 million a year earlier and up 6.7% from the prior quarter.
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Analysis
Hain Celestial (HAIN) Buildings (2010 - 2016) Analysis & Trends
At the end of FY2015 (ended Jun 30, 2015), Hain Celestial posted Buildings of $88.51 million, up 16.6% from FY2014.
- Buildings has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 18.5% (FY2010 to FY2015).
- By fiscal year, Buildings came in at $75.9 million in FY2014 (+23.4%), $61.48 million in FY2013 (+29.1%), $47.64 million in FY2012 (+14.0%) and $41.78 million in FY2011 (+10.1%).
- The fiscal Q3 2016 figure ranks as the highest quarterly Buildings in data going back to fiscal Q4 2010.
- Year over year, Buildings has now increased in each of the last 13 quarters, with growth averaging 20.2% over the last eight quarters.
- The high point for year-over-year Buildings in five years was fiscal Q3 2014 (growth of 40.4%); the low point was fiscal Q2 2013 (a decline of 5.0%).
- Per Business Quant data, the three fiscal quarters before Q3 2016 came in at $96.71 million (Q2 2016), $88.75 million (Q1 2016) and $88.51 million (Q4 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Hain Celestial | 44.59 Mn | -173.70 Mn | 59.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 103.14 Mn |
| Dec 31, 2015 | 96.71 Mn |
| Sep 30, 2015 | 88.75 Mn |
| Jun 30, 2015 | 88.51 Mn |
| Mar 31, 2015 | 83.30 Mn |
| Dec 31, 2014 | 84.72 Mn |
| Sep 30, 2014 | 86.05 Mn |
| Jun 30, 2014 | 75.90 Mn |
| Mar 31, 2014 | 72.87 Mn |
| Dec 31, 2013 | 64.08 Mn |
| Sep 30, 2013 | 64.08 Mn |
| Jun 30, 2013 | 61.48 Mn |
| Mar 31, 2013 | 51.90 Mn |
| Dec 31, 2012 | 57.06 Mn |
| Sep 30, 2012 | 53.11 Mn |
| Jun 30, 2012 | 47.64 Mn |
| Mar 31, 2012 | 47.83 Mn |
| Dec 31, 2011 | 60.06 Mn |
| Sep 30, 2011 | 41.27 Mn |
| Jun 30, 2011 | 41.78 Mn |
API Access
Hain Celestial Buildings 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=buildings&ticker=HAIN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "HAIN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=buildings&ticker=HAIN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();