Seneca Foods (SENEA) Asset Writedowns and Impairment (2013 - 2015)
Seneca Foods' Asset Writedowns and Impairment came in at $2.88 million for FY2017 (year ended Mar 31, 2017), down 72.0% from $10.3 million in FY2016.
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Analysis
Seneca Foods (SENEA) Asset Writedowns and Impairment (2013 - 2015) Analysis & Trends
Going back to FY2013, Seneca Foods' Asset Writedowns and Impairment data covers 5 fiscal years.
- Asset Writedowns and Impairment carries a four-year compound annual growth rate of 24.1% (FY2013 to FY2017).
- The five-year range for annual Asset Writedowns and Impairment is $264,000 (FY2015) to $10.3 million (FY2016).
- Per Business Quant, earlier fiscal years put Asset Writedowns and Impairment at $10.3 million in FY2016, $264,000 in FY2015 (-22.6%), $341,000 in FY2014 (-72.0%) and $1.22 million in FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn |
| 10 | Seneca Foods | 1.20 Bn | 1.02 Bn | 47.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2015 | -81,000.00 |
| Mar 31, 2015 | -625,000.00 |
| Dec 27, 2014 | 889,000.00 |
| Mar 31, 2014 | -160,000.00 |
| Sep 28, 2013 | 347,000.00 |
| Jun 29, 2013 | 154,000.00 |
API Access
Seneca Foods Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=SENEA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=SENEA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();