Noodles (NDLS) Assets (2013 - 2026)
Noodles (NDLS) reported Assets of $235.77 million for Q2 2026, down 20.0% from $294.58 million a year earlier and down 4.3% from the prior quarter.
Powered by 
Analysis
Noodles (NDLS) Assets (2013 - 2026) Analysis & Trends
At the end of FY2025, Noodles posted Assets of $261.67 million, down 19.4% from FY2024.
- Assets has a five-year compound annual growth rate of -5.8% (FY2020 to FY2025).
- By year, Assets came in at $324.65 million in FY2024 (-11.8%), $368.1 million in FY2023 and $341.46 million in FY2021 (-3.4%).
- The Q2 2026 figure ranks as the lowest quarterly Assets since Q4 2018.
- Year over year, Assets has now declined in each of the last seven quarters, with an average decline of 16.9% over the last seven quarters.
- Over the past five years, the year-over-year decline in Assets ranged from 3.4% (Q4 2021) to 22.9% (Q1 2026).
- Per Business Quant data, the three quarters before Q2 2026 came in at $246.32 million (Q1 2026), $261.67 million (Q4 2025) and $280.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 59.92 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 28.29 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 8.86 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 8.68 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 25.02 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 12.86 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 25.02 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 10.87 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 3.67 Bn |
| 10 | Noodles | 82.34 Mn | 73.64 Mn | 90.30 Mn | 235.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 235.77 Mn |
| Mar 31, 2026 | 246.32 Mn |
| Dec 30, 2025 | 261.67 Mn |
| Sep 30, 2025 | 280.57 Mn |
| Jul 1, 2025 | 294.58 Mn |
| Apr 1, 2025 | 319.45 Mn |
| Dec 31, 2024 | 324.65 Mn |
| Oct 1, 2024 | 340.54 Mn |
| Jul 2, 2024 | 346.29 Mn |
| Apr 2, 2024 | 360.38 Mn |
| Jan 2, 2024 | 368.10 Mn |
| Oct 3, 2023 | 368.83 Mn |
| Jul 4, 2023 | 357.57 Mn |
| Apr 4, 2023 | 349.04 Mn |
| Jan 3, 2023 | 343.84 Mn |
| Sep 27, 2022 | 343.25 Mn |
| Jun 28, 2022 | 338.58 Mn |
| Mar 29, 2022 | 337.77 Mn |
| Dec 28, 2021 | 341.46 Mn |
| Sep 28, 2021 | 344.50 Mn |
API Access
Noodles 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=assets&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=assets&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();