Seneca Foods (SENEA) Buildings (2011 - 2021)
Seneca Foods (SENEA) posted Buildings of $188.33 million for fiscal Q4 2021 (quarter ended Mar 31, 2021), up 1.8% from $184.95 million a year earlier.
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Analysis
Seneca Foods (SENEA) Buildings (2011 - 2021) Analysis & Trends
Since fiscal Q4 2011, Seneca Foods has reported Buildings for 11 quarters.
- Annual Buildings shows a five-year compound annual growth rate of -1.7% (FY2016 to FY2021).
- In prior fiscal years, Seneca Foods' Buildings was $184.95 million in FY2020 (-2.7%), $190.1 million in FY2019 (-12.1%), $216.19 million in FY2018 (-0.3%) and $216.86 million in FY2017 (+5.8%).
- The fiscal Q4 2021 figure stands as the highest quarterly Buildings since fiscal Q4 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 136.33 Bn | 111.70 Bn | - |
| 2 | Mondelez International | 76.81 Bn | 70.13 Bn | 3.99 Bn |
| 3 | Hershey | 33.25 Bn | 29.49 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.93 Bn | 14.46 Bn | 2.03 Bn |
| 5 | General Mills | 17.97 Bn | 15.62 Bn | 1.49 Bn |
| 6 | Mccormick | 13.05 Bn | 12.93 Bn | 778.20 Mn |
| 7 | J M Smucker | 12.89 Bn | 12.67 Bn | 979.60 Mn |
| 8 | Hormel Foods | 10.99 Bn | 7.67 Bn | 471.52 Mn |
| 9 | Chewy | 7.48 Bn | 4.77 Bn | 1.01 Bn |
| 10 | Seneca Foods | 1.24 Bn | 1.05 Bn | 47.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 188.33 Mn |
| Mar 31, 2020 | 184.95 Mn |
| Mar 31, 2019 | 190.10 Mn |
| Mar 31, 2018 | 216.19 Mn |
| Mar 31, 2017 | 216.86 Mn |
| Mar 31, 2016 | 204.94 Mn |
| Mar 31, 2015 | 200.74 Mn |
| Mar 31, 2014 | 180.20 Mn |
| Mar 31, 2013 | 178.85 Mn |
| Mar 31, 2012 | 164.44 Mn |
| Mar 31, 2011 | 158.20 Mn |
API Access
Seneca Foods 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=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "ticker": "SENEA", "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=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();