Seneca Foods (SENEA) Land & Improvements (2011 - 2021)
Seneca Foods' Land & Improvements came in at $26.03 million for fiscal Q4 2021 (quarter ended Mar 31, 2021), up 4.3% from $24.96 million a year earlier.
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Analysis
Seneca Foods (SENEA) Land & Improvements (2011 - 2021) Analysis & Trends
Going back to fiscal Q4 2011, Seneca Foods' Land & Improvements data covers 11 quarters.
- Land & Improvements carries a five-year compound annual growth rate of 3.0% (FY2016 to FY2021).
- Going back by fiscal year, Land & Improvements was $24.96 million in FY2020 (-3.4%), $25.83 million in FY2019 (+0.9%), $25.6 million in FY2018 (+1.5%) and $25.22 million in FY2017 (+12.4%).
- The fiscal Q4 2021 figure represents the highest quarterly Land & Improvements in data going back to fiscal Q4 2011.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Land & Improvements (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 | 195.99 Mn |
| 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 | 158.50 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | - |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 75.32 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | - |
| 10 | Seneca Foods | 1.21 Bn | 1.02 Bn | 47.85 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2021 | 26.03 Mn |
| Mar 31, 2020 | 24.96 Mn |
| Mar 31, 2019 | 25.83 Mn |
| Mar 31, 2018 | 25.60 Mn |
| Mar 31, 2017 | 25.22 Mn |
| Mar 31, 2016 | 22.43 Mn |
| Mar 31, 2015 | 20.97 Mn |
| Mar 31, 2014 | 19.64 Mn |
| Mar 31, 2013 | 19.64 Mn |
| Mar 31, 2012 | 18.63 Mn |
| Mar 31, 2011 | 17.65 Mn |
API Access
Seneca Foods Land & Improvements 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=land-and-improvements&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "land-and-improvements", "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=land-and-improvements&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();