Ark Restaurants (ARKR) Inventory (2010 - 2026)
Ark Restaurants' Inventory was $2.23 million in fiscal Q3 2026 (quarter ended Jun 27, 2026), up 6.4% from $2.1 million a year earlier and up 5.0% from the prior quarter.
Ark Restaurants (ARKR) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 27, 2025), Inventory at Ark Restaurants came in at $2.02 million, down 11.9% from FY2024.
- Inventory has now declined for three consecutive fiscal years, with a five-year compound annual growth rate of -4.6% (FY2020 to FY2025).
- In earlier fiscal years, Inventory was $2.29 million in FY2024 (-26.0%), $3.09 million in FY2023 (-16.6%), $3.71 million in FY2022 (+5.6%) and $3.51 million in FY2021 (+37.5%).
- The fiscal Q3 2026 figure marks the highest quarterly Inventory since fiscal Q4 2024.
- Compared with a year earlier, Inventory was higher in two of the last eight quarters, with an average decline of 11.4%.
- The best year-over-year quarter for Inventory over five years was fiscal Q2 2022 (growth of 97.2%); the worst was fiscal Q2 2024 (a decline of 28.5%).
- Per Business Quant data, ARKR's Inventory in the three fiscal quarters before Q3 2026 was $2.13 million (Q2 2026), $2 million (Q1 2026) and $2.02 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 2.21 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 46.62 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 224.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 326.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 224.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 49.69 Mn |
| 10 | Ark Restaurants | 16.23 Mn | -25.84 Mn | 24.49 Mn | 2.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 2.23 Mn |
| Mar 28, 2026 | 2.13 Mn |
| Dec 27, 2025 | 2.00 Mn |
| Sep 27, 2025 | 2.02 Mn |
| Jun 28, 2025 | 2.10 Mn |
| Mar 29, 2025 | 2.07 Mn |
| Dec 28, 2024 | 2.17 Mn |
| Sep 28, 2024 | 2.29 Mn |
| Jun 29, 2024 | 2.47 Mn |
| Mar 30, 2024 | 2.36 Mn |
| Dec 30, 2023 | 2.97 Mn |
| Sep 30, 2023 | 3.09 Mn |
| Jul 1, 2023 | 3.25 Mn |
| Apr 1, 2023 | 3.31 Mn |
| Dec 31, 2022 | 3.45 Mn |
| Oct 1, 2022 | 3.71 Mn |
| Jul 2, 2022 | 4.02 Mn |
| Apr 2, 2022 | 4.24 Mn |
| Jan 1, 2022 | 4.43 Mn |
| Oct 2, 2021 | 3.51 Mn |
Ark Restaurants 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=inventory&ticker=ARKR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "ARKR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=inventory&ticker=ARKR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();