Seneca Foods (SENEA) Work In Process (2010 - 2018)
Seneca Foods (SENEA) posted Work In Process of $33.89 million for fiscal Q3 2019 (quarter ended Dec 29, 2018), down 14.3% from $39.54 million a year earlier and down 16.0% from the prior quarter.
Seneca Foods (SENEA) Work In Process (2010 - 2018) Analysis & Trends
At the end of FY2018 (ended Mar 31, 2018), Seneca Foods' Work In Process came in at $41.66 million, up 28.1% from FY2017.
- Annual Work In Process has increased for three consecutive fiscal years, with a five-year compound annual growth rate of 32.9% (FY2013 to FY2018).
- In prior fiscal years, Seneca Foods' Work In Process was $32.53 million in FY2017 (+90.0%), $17.12 million in FY2016 (+68.4%), $10.17 million in FY2015 (-17.7%) and $12.35 million in FY2014 (+23.1%).
- The fiscal Q3 2019 figure stands as the lowest quarterly Work In Process since fiscal Q2 2018.
- On a year-over-year basis, Work In Process increased in seven of the last eight quarters, with growth averaging 47.6%.
- The strongest year-over-year quarter for Work In Process in the past five years was fiscal Q2 2017, with growth of 154.7%; the weakest was fiscal Q2 2016, with a decline of 61.3%.
- According to Business Quant data, Work In Process for the three prior fiscal quarters was $40.36 million (Q2 2019), $35.66 million (Q1 2019) and $41.66 million (Q4 2018).
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
| Date | Value |
|---|---|
| Dec 29, 2018 | 33.89 Mn |
| Sep 29, 2018 | 40.36 Mn |
| Jun 30, 2018 | 35.66 Mn |
| Mar 31, 2018 | 41.66 Mn |
| Dec 30, 2017 | 39.54 Mn |
| Sep 30, 2017 | 32.28 Mn |
| Jul 1, 2017 | 24.79 Mn |
| Mar 31, 2017 | 32.53 Mn |
| Dec 31, 2016 | 24.64 Mn |
| Oct 1, 2016 | 18.10 Mn |
| Jul 2, 2016 | 14.62 Mn |
| Mar 31, 2016 | 17.12 Mn |
| Dec 26, 2015 | 23.35 Mn |
| Sep 26, 2015 | 7.11 Mn |
| Jun 27, 2015 | 7.73 Mn |
| Mar 31, 2015 | 10.17 Mn |
| Dec 27, 2014 | 26.30 Mn |
| Sep 27, 2014 | 18.36 Mn |
| Jun 28, 2014 | 8.36 Mn |
| Mar 31, 2014 | 12.35 Mn |
Seneca Foods Work In Process 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=work-in-process&ticker=SENEA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "work-in-process", "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=work-in-process&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();