Noodles (NDLS) Return on Assets [ROA] (2013 - 2026)
Noodles (NDLS) posted Return on Assets [ROA] of -9.68% for Q2 2026, up 4.35 percentage points from -14.02% a year earlier and up 4.86 percentage points from the prior quarter.
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Analysis
Noodles (NDLS) Return on Assets [ROA] (2013 - 2026) Analysis & Trends
For FY2025, Noodles' Return on Assets [ROA] came in at -14.52%, down 4.07 percentage points from FY2024.
- Annual Return on Assets [ROA] shows a five-year change of -8.17 percentage points (FY2020 to FY2025).
- In prior years, Noodles' Return on Assets [ROA] was -10.45% in FY2024 (-7.69 pp), -2.77% in FY2023 and 1.05% in FY2021 (+7.41 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Assets [ROA] since Q3 2024.
- On a year-over-year basis, Return on Assets [ROA] increased in 1 of the last seven quarters, with an average year-over-year change of -4.79 percentage points.
- The strongest year-over-year quarter for Return on Assets [ROA] in the past five years was Q4 2021, with a gain of 7.56 percentage points; the weakest was Q1 2025, with a drop of 8.77 percentage points.
- According to Business Quant data, Return on Assets [ROA] for the three prior quarters was -14.54% (Q1 2026), -15.70% (Q4 2025) and -15.81% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 14.65% |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 6.74% |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 16.07% |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 26.25% |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 6.82% |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 9.37% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 6.82% |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 9.70% |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 11.65% |
| 10 | Noodles | 79.06 Mn | 70.36 Mn | 90.30 Mn | -9.68% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -9.68% |
| Mar 31, 2026 | -14.54% |
| Dec 30, 2025 | -15.70% |
| Sep 30, 2025 | -15.81% |
| Jul 1, 2025 | -14.02% |
| Apr 1, 2025 | -12.15% |
| Dec 31, 2024 | -10.89% |
| Oct 1, 2024 | -9.34% |
| Jul 2, 2024 | -6.97% |
| Apr 2, 2024 | -3.38% |
| Jan 2, 2024 | -2.52% |
| Oct 3, 2023 | -0.81% |
| Jul 4, 2023 | -0.65% |
| Apr 4, 2023 | -2.14% |
| Sep 27, 2022 | -2.65% |
| Jun 28, 2022 | -1.52% |
| Mar 29, 2022 | -0.23% |
| Dec 28, 2021 | 1.07% |
| Sep 28, 2021 | 1.30% |
| Jun 29, 2021 | -0.07% |
API Access
Noodles Return on Assets [ROA] 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=return-on-assets-%5Broa%5D&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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=return-on-assets-%5Broa%5D&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();