Sow Good (SOWG) EV to CFO (2012 - 2019)
Sow Good's (SOWG) EV to CFO came in at 18280.27 for Q1 2019, up 131.1% from the prior quarter.
Analysis
Sow Good (SOWG) EV to CFO (2012 - 2019) Analysis & Trends
For the trailing twelve months through Mar 31, 2019, EV to CFO at Sow Good was 18267.70; for FY2018, it came in at 7910.62.
- In prior years, Sow Good's EV to CFO was 146.20 in FY2016 (+217.4%), 46.06 in FY2015 (-87.6%) and 370.23 in FY2014 (-77.0%).
- The Q1 2019 figure stands as the highest quarterly EV to CFO in data going back to Q1 2012.
- The strongest year-over-year quarter for EV to CFO in the past five years was Q4 2016, with growth of 217.4%; the weakest was Q4 2015, with a decline of 87.6%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 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 |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn |
| 10 | Sow Good | 46.03 Mn | 41.84 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 18,280.27 |
| Dec 31, 2018 | 7,910.62 |
| Sep 30, 2018 | 7,678.60 |
| Mar 31, 2017 | 203.99 |
| Dec 31, 2016 | 146.20 |
| Sep 30, 2016 | 181.45 |
| Jun 30, 2016 | 82.18 |
| Mar 31, 2016 | 87.37 |
| Dec 31, 2015 | 46.06 |
| Sep 30, 2015 | 149.56 |
| Jun 30, 2015 | 300.01 |
| Mar 31, 2015 | 284.16 |
| Dec 31, 2014 | 370.23 |
| Sep 30, 2014 | 959.50 |
| Jun 30, 2014 | 1,320.53 |
| Mar 31, 2014 | 1,695.40 |
| Dec 31, 2013 | 1,608.25 |
| Sep 30, 2013 | 644.72 |
| Jun 30, 2013 | 549.87 |
| Mar 31, 2013 | 613.64 |
API Access
Sow Good EV to CFO 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=ev-to-cfo&ticker=SOWG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=SOWG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();