Seneca Foods (SENEA) Finished Goods (2010 - 2018)
Seneca Foods (SENEA) posted Finished Goods of $434.71 million for fiscal Q3 2019 (quarter ended Dec 29, 2018), down 6.1% from $462.78 million a year earlier and down 19.1% from the prior quarter.
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Analysis
Seneca Foods (SENEA) Finished Goods (2010 - 2018) Analysis & Trends
At the end of FY2018 (ended Mar 31, 2018), Seneca Foods' Finished Goods came in at $388.91 million, down 16.6% from FY2017.
- Annual Finished Goods shows a five-year compound annual growth rate of 2.1% (FY2013 to FY2018).
- In prior fiscal years, Seneca Foods' Finished Goods was $466.13 million in FY2017 (+27.0%), $366.91 million in FY2016 (+21.6%), $301.71 million in FY2015 (-1.1%) and $304.96 million in FY2014 (-13.2%).
- Quarterly Finished Goods has run from a low of $278.84 million in fiscal Q1 2016 to a high of $669.29 million in fiscal Q2 2017 over five years.
- On a year-over-year basis, Finished Goods increased in three of the last eight quarters, with an average decline of 2.9%.
- The strongest year-over-year quarter for Finished Goods in the past five years was fiscal Q4 2017, with growth of 27.0%; the weakest was fiscal Q2 2018, with a decline of 21.2%.
- According to Business Quant data, Finished Goods for the three prior fiscal quarters was $537.05 million (Q2 2019), $371.99 million (Q1 2019) and $388.91 million (Q4 2018).
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 |
|---|---|
| Dec 29, 2018 | 434.71 Mn |
| Sep 29, 2018 | 537.05 Mn |
| Jun 30, 2018 | 371.99 Mn |
| Mar 31, 2018 | 388.91 Mn |
| Dec 30, 2017 | 462.78 Mn |
| Sep 30, 2017 | 527.36 Mn |
| Jul 1, 2017 | 416.19 Mn |
| Mar 31, 2017 | 466.13 Mn |
| Dec 31, 2016 | 554.92 Mn |
| Oct 1, 2016 | 669.29 Mn |
| Jul 2, 2016 | 349.50 Mn |
| Mar 31, 2016 | 366.91 Mn |
| Dec 26, 2015 | 482.03 Mn |
| Sep 26, 2015 | 631.47 Mn |
| Jun 27, 2015 | 278.84 Mn |
| Mar 31, 2015 | 301.71 Mn |
| Dec 27, 2014 | 405.60 Mn |
| Sep 27, 2014 | 591.84 Mn |
| Jun 28, 2014 | 283.89 Mn |
| Mar 31, 2014 | 304.96 Mn |
API Access
Seneca Foods Finished Goods 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=finished-goods&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();