Artisan Consumer Goods (ARRT) Change in Inventory (2019 - 2023)
Artisan Consumer Goods' Change in Inventory came in at -$16,448 for fiscal Q4 2023 (quarter ended Jun 30, 2023), compared with -$16,449 a year earlier.
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Analysis
Artisan Consumer Goods (ARRT) Change in Inventory (2019 - 2023) Analysis & Trends
For FY2023 (ended Jun 30, 2023), Artisan Consumer Goods' Change in Inventory was -$8,224.
- Going back by fiscal year, Change in Inventory was -$16,449 in FY2022, $367.00 in FY2021 (+555.4%), $56.00 in FY2020 and -$423.00 in FY2019.
- The five-year range for quarterly Change in Inventory is -$16,449 (fiscal Q4 2022) to $5,984 (fiscal Q2 2023).
- Business Quant data shows ARRT's Change in Inventory at $2,541 (Q3 2023), $5,984 (Q2 2023) and -$301.00 (Q1 2023) in the three fiscal quarters before Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn | 330.00 Mn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn | 314.42 Mn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn | 33.00 Mn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn | 261.10 Mn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn | 61.10 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn | 38.30 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn | 57.43 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn | -83.10 Mn |
| 10 | Artisan Consumer Goods | 1.41 Mn | 1.40 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -16,448.00 |
| Mar 31, 2023 | 2,541.00 |
| Dec 31, 2022 | 5,984.00 |
| Sep 30, 2022 | -301.00 |
| Jun 30, 2022 | -16,449.00 |
| Mar 31, 2021 | 367.00 |
| Sep 30, 2019 | 56.00 |
| Jun 30, 2019 | 74.00 |
API Access
Artisan Consumer Goods Change in Inventory 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-inventory&ticker=ARRT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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-inventory&ticker=ARRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();