Artisan Consumer Goods (ARRT) Change in Accured Expenses (2013 - 2020)
Artisan Consumer Goods (ARRT) reported Change in Accured Expenses of $3,571 for fiscal Q4 2020 (quarter ended Jun 30, 2020), compared with $143.00 a year earlier.
Artisan Consumer Goods (ARRT) Change in Accured Expenses (2013 - 2020) Analysis & Trends
Dating back to fiscal Q1 2014, Artisan Consumer Goods' Change in Accured Expenses record includes 15 quarters.
- Change in Accured Expenses has a five-year compound annual growth rate of -54.3% (FY2015 to FY2020).
- By fiscal year, Change in Accured Expenses came in at -$8,572 in FY2018, $38,914 in FY2017 (-78.4%) and $180,000 in FY2016 (unchanged).
- The fiscal Q4 2020 figure ranks as the highest quarterly Change in Accured Expenses since fiscal Q1 2017.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 146.13 Bn | 97.59 Bn | - | - |
| 2 | Mondelez International | 83.52 Bn | 76.79 Bn | 3.99 Bn | - |
| 3 | Hershey | 35.34 Bn | 31.58 Bn | 1.26 Bn | 113.25 Mn |
| 4 | Kraft Heinz | 29.67 Bn | 16.09 Bn | 2.03 Bn | - |
| 5 | General Mills | 18.81 Bn | 16.45 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 14.20 Bn | 13.99 Bn | 979.60 Mn | -26.00 Mn |
| 7 | Mccormick | 13.07 Bn | 12.13 Bn | 794.90 Mn | - |
| 8 | Hormel Foods | 11.74 Bn | 8.40 Bn | 471.52 Mn | 22.60 Mn |
| 9 | Chewy | 9.07 Bn | 6.36 Bn | 1.01 Bn | -15.90 Mn |
| 10 | Artisan Consumer Goods | 1.41 Mn | 1.40 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2020 | 3,571.00 |
| Jun 30, 2019 | 143.00 |
| Sep 30, 2018 | -143.00 |
| Jun 30, 2017 | -7,886.00 |
| Dec 31, 2016 | -3,200.00 |
| Sep 30, 2016 | 50,000.00 |
| Jun 30, 2016 | 45,000.00 |
| Mar 31, 2016 | 45,000.00 |
| Dec 31, 2015 | 45,000.00 |
| Sep 30, 2015 | 45,000.00 |
| Jun 30, 2015 | 45,000.00 |
| Mar 31, 2015 | 45,000.00 |
| Dec 31, 2014 | 45,000.00 |
| Sep 30, 2014 | 45,000.00 |
| Sep 30, 2013 | 45,000.00 |
Artisan Consumer Goods Change in Accured Expenses 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-accured-expenses&ticker=ARRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "ARRT", "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-accured-expenses&ticker=ARRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();