Sow Good (SOWG) Total Non-Current Liabilities (2010 - 2016)
Sow Good (SOWG) reported Total Non-Current Liabilities of $69.95 million for Q1 2016, down 3.8% from $72.74 million a year earlier but up 1.9% from the prior quarter.
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Analysis
Sow Good (SOWG) Total Non-Current Liabilities (2010 - 2016) Analysis & Trends
At the end of FY2015, Sow Good posted Total Non-Current Liabilities of $68.68 million, down 0.1% from FY2014.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 81.7% (FY2010 to FY2015).
- By year, Total Non-Current Liabilities came in at $68.78 million in FY2014 (+59.0%), $43.26 million in FY2013 (+214.1%), $13.77 million in FY2012 (+232.5%) and $4.14 million in FY2011 (+19.5%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $4.14 million in Q4 2011 and a high of $72.74 million in Q1 2015.
- Year over year, Total Non-Current Liabilities gained in six of the last eight quarters, with growth averaging 67.4%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2012 (growth of 403.1%); the low point was Q3 2013 (a decline of 13.6%).
- Per Business Quant data, the three quarters before Q1 2016 came in at $68.68 million (Q4 2015), $65.96 million (Q3 2015) and $70.28 million (Q2 2015).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 8.50 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Sow Good | 46.03 Mn | 41.84 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2016 | 69.95 Mn |
| Dec 31, 2015 | 68.68 Mn |
| Sep 30, 2015 | 65.96 Mn |
| Jun 30, 2015 | 70.28 Mn |
| Mar 31, 2015 | 72.74 Mn |
| Dec 31, 2014 | 68.78 Mn |
| Sep 30, 2014 | 63.16 Mn |
| Jun 30, 2014 | 55.61 Mn |
| Mar 31, 2014 | 48.83 Mn |
| Dec 31, 2013 | 43.26 Mn |
| Sep 30, 2013 | 21.88 Mn |
| Jun 30, 2013 | 17.60 Mn |
| Mar 31, 2013 | 14.99 Mn |
| Dec 31, 2012 | 13.77 Mn |
| Sep 30, 2012 | 25.32 Mn |
| Jun 30, 2012 | 17.47 Mn |
| Mar 31, 2012 | 10.32 Mn |
| Dec 31, 2011 | 4.14 Mn |
| Sep 30, 2011 | 5.03 Mn |
| Jun 30, 2011 | 6.85 Mn |
API Access
Sow Good Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SOWG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "SOWG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=SOWG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();