Artisan Consumer Goods (ARRT) Enterprise Value (2018 - 2026)
Artisan Consumer Goods (ARRT) recorded Enterprise Value of $923,447 in fiscal Q4 2026 (quarter ended Jun 30, 2026), up 5.1% from $878,640 a year earlier but down 12.5% from the prior quarter.
Artisan Consumer Goods (ARRT) Enterprise Value (2018 - 2026) Analysis & Trends
Starting with fiscal Q4 2018, Artisan Consumer Goods' Enterprise Value history includes 33 quarters.
- Annual Enterprise Value has a five-year compound annual growth rate of 11.9% (FY2021 to FY2026).
- Across earlier fiscal years, Enterprise Value came in at $878,640 in FY2025 (-20.0%), $1.1 million in FY2024 (+108.8%), $525,939 in FY2023 (+2.2%) and $514,451 in FY2022 (-2.4%).
- Quarterly Enterprise Value has ranged from $463,959 in fiscal Q2 2022 to $2.2 million in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, Enterprise Value rose in four of the last eight quarters, with growth averaging 69.0%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 328.9% in fiscal Q1 2025, against a decline of 89.5% in fiscal Q2 2022 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $1.06 million (Q3 2026), $790,546 (Q2 2026) and $747,546 (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn |
| 10 | Artisan Consumer Goods | 1.41 Mn | 1.40 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 923,447.05 |
| Mar 31, 2026 | 1.06 Mn |
| Dec 31, 2025 | 790,545.67 |
| Sep 30, 2025 | 747,546.17 |
| Jun 30, 2025 | 878,639.61 |
| Mar 31, 2025 | 1.10 Mn |
| Dec 31, 2024 | 2.07 Mn |
| Sep 30, 2024 | 2.20 Mn |
| Jun 30, 2024 | 1.10 Mn |
| Mar 31, 2024 | 615,927.72 |
| Dec 31, 2023 | 528,005.75 |
| Sep 30, 2023 | 512,683.75 |
| Jun 30, 2023 | 525,938.75 |
| Mar 31, 2023 | 833,852.11 |
| Dec 31, 2022 | 519,150.75 |
| Sep 30, 2022 | 524,522.75 |
| Jun 30, 2022 | 514,450.75 |
| Mar 31, 2022 | 511,063.75 |
| Dec 31, 2021 | 463,959.28 |
| Sep 30, 2021 | 1.29 Mn |
Artisan Consumer Goods Enterprise Value 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=enterprise-value&ticker=ARRT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=ARRT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();