Sow Good (SOWG) Change in Taxes (2010 - 2024)
Sow Good's Change in Taxes was -$192,315 in Q3 2024.
Analysis
Sow Good (SOWG) Change in Taxes (2010 - 2024) Analysis & Trends
For FY2018, Change in Taxes at Sow Good came in at $387,048, up 351.5% from FY2017.
- In earlier years, Change in Taxes was $85,722 in FY2017.
- The Q3 2024 figure marks the highest quarterly Change in Taxes since Q1 2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (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 | -88.94 Mn |
| 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 | -31.70 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 6.46 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | - |
| 10 | Sow Good | 45.83 Mn | 41.64 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | -192,315.00 |
| Jun 30, 2019 | -549,956.00 |
| Mar 31, 2019 | 185,219.00 |
| Dec 31, 2018 | 155,645.00 |
| Sep 30, 2018 | 132,898.00 |
| Jun 30, 2018 | 20,484.00 |
| Mar 31, 2018 | 78,021.00 |
| Dec 31, 2017 | 85,722.00 |
| Dec 31, 2012 | 2.09 Mn |
| Sep 30, 2012 | 2.01 Mn |
| Jun 30, 2012 | -227,381.00 |
| Mar 31, 2012 | -154,184.00 |
| Dec 31, 2011 | -1.30 Mn |
| Sep 30, 2011 | -48,300.00 |
| Jun 30, 2011 | -57,900.00 |
| Mar 31, 2011 | -274,300.00 |
| Dec 31, 2010 | -451,400.00 |
API Access
Sow Good Change in Taxes 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=change-in-taxes&ticker=SOWG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "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=change-in-taxes&ticker=SOWG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();