Noodles (NDLS) Inventory (2013 - 2026)
Noodles (NDLS) reported Inventory of $9.31 million for Q2 2026, down 12.6% from $10.65 million a year earlier and down 2.9% from the prior quarter.
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Analysis
Noodles (NDLS) Inventory (2013 - 2026) Analysis & Trends
At the end of FY2025, Noodles posted Inventory of $10.22 million, down 2.7% from FY2024.
- Inventory has a five-year compound annual growth rate of 1.2% (FY2020 to FY2025).
- By year, Inventory came in at $10.5 million in FY2024 (+2.4%), $10.25 million in FY2023 and $9.4 million in FY2021 (-2.5%).
- The Q2 2026 figure ranks as the lowest quarterly Inventory since Q3 2014.
- Year over year, Inventory has now declined in each of the last four quarters, with an average decline of 2.2% over the last seven quarters.
- The high point for year-over-year Inventory in five years was Q1 2025 (growth of 9.0%); the low point was Q1 2026 (a decline of 13.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $9.58 million (Q1 2026), $10.22 million (Q4 2025) and $10.41 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 58.00 Mn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 2.21 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 46.62 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 224.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 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 | 14.08 Bn | 8.44 Bn | 537.00 Mn | 459.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 49.69 Mn |
| 10 | Noodles | 82.34 Mn | 73.64 Mn | 90.30 Mn | 9.31 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.31 Mn |
| Mar 31, 2026 | 9.58 Mn |
| Dec 30, 2025 | 10.22 Mn |
| Sep 30, 2025 | 10.41 Mn |
| Jul 1, 2025 | 10.65 Mn |
| Apr 1, 2025 | 11.11 Mn |
| Dec 31, 2024 | 10.50 Mn |
| Oct 1, 2024 | 10.44 Mn |
| Jul 2, 2024 | 10.42 Mn |
| Apr 2, 2024 | 10.19 Mn |
| Jan 2, 2024 | 10.25 Mn |
| Oct 3, 2023 | 10.31 Mn |
| Jul 4, 2023 | 10.20 Mn |
| Apr 4, 2023 | 9.94 Mn |
| Jan 3, 2023 | 10.04 Mn |
| Sep 27, 2022 | 10.05 Mn |
| Jun 28, 2022 | 9.93 Mn |
| Mar 29, 2022 | 9.72 Mn |
| Dec 28, 2021 | 9.40 Mn |
| Sep 28, 2021 | 9.71 Mn |
API Access
Noodles 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=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "NDLS", "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=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();