Noodles (NDLS) Non-Current Assets (2013 - 2026)
Noodles (NDLS) posted Non-Current Assets of $217.25 million for Q2 2026, down 20.5% from $273.31 million a year earlier and down 4.8% from the prior quarter.
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Analysis
Noodles (NDLS) Non-Current Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Noodles' Non-Current Assets came in at $242.78 million, down 20.3% from FY2024.
- Annual Non-Current Assets shows a five-year compound annual growth rate of -5.9% (FY2020 to FY2025).
- In prior years, Noodles' Non-Current Assets was $304.46 million in FY2024 (-11.9%), $345.47 million in FY2023 and $318.9 million in FY2021 (-3.3%).
- The Q2 2026 figure stands as the lowest quarterly Non-Current Assets since Q4 2018.
- On a year-over-year basis, Non-Current Assets has declined in each of the last seven quarters, with an average decline of 17.5% over the last seven quarters.
- Over the past five years, the year-over-year decline in Non-Current Assets ranged from 3.3% (Q4 2021) to 23.6% (Q1 2026).
- According to Business Quant data, Non-Current Assets for the three prior quarters was $228.26 million (Q1 2026), $242.78 million (Q4 2025) and $256.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 55.58 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 20.76 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 7.92 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 6.14 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 22.68 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 11.92 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 22.68 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 8.52 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 3.31 Bn |
| 10 | Noodles | 82.34 Mn | 73.64 Mn | 90.30 Mn | 217.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 217.25 Mn |
| Mar 31, 2026 | 228.26 Mn |
| Dec 30, 2025 | 242.78 Mn |
| Sep 30, 2025 | 256.75 Mn |
| Jul 1, 2025 | 273.31 Mn |
| Apr 1, 2025 | 298.94 Mn |
| Dec 31, 2024 | 304.46 Mn |
| Oct 1, 2024 | 317.13 Mn |
| Jul 2, 2024 | 323.80 Mn |
| Apr 2, 2024 | 338.14 Mn |
| Jan 2, 2024 | 345.47 Mn |
| Oct 3, 2023 | 346.06 Mn |
| Jul 4, 2023 | 333.75 Mn |
| Apr 4, 2023 | 327.96 Mn |
| Jan 3, 2023 | 322.21 Mn |
| Sep 27, 2022 | 321.60 Mn |
| Jun 28, 2022 | 318.09 Mn |
| Mar 29, 2022 | 318.14 Mn |
| Dec 28, 2021 | 318.90 Mn |
| Sep 28, 2021 | 323.04 Mn |
API Access
Noodles Non-Current Assets 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=non-current-assets&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();