Noodles (NDLS) Return on Capital Employed [ROCE] (2013 - 2026)
Noodles' Return on Capital Employed [ROCE] was -7.17% in Q2 2026, up 6.79 percentage points from -13.97% a year earlier and up 6.54 percentage points from the prior quarter.
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Analysis
Noodles (NDLS) Return on Capital Employed [ROCE] (2013 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Noodles came in at -13.66%, down 3.76 percentage points from FY2024.
- Return on Capital Employed [ROCE] shows a five-year change of -7.15 percentage points (FY2020 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -9.90% in FY2024 (-8.15 pp), -1.74% in FY2023 and 2.15% in FY2021 (+8.65 pp).
- The Q2 2026 figure marks the highest quarterly Return on Capital Employed [ROCE] since Q2 2024.
- Compared with a year earlier, Return on Capital Employed [ROCE] was higher in 1 of the last seven quarters, with an average year-over-year change of -5.05 percentage points.
- The best year-over-year quarter for Return on Capital Employed [ROCE] over five years was Q4 2021 (a gain of 8.85 percentage points); the worst was Q1 2025 (a drop of 10.32 percentage points).
- Per Business Quant data, NDLS's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -13.72% (Q1 2026), -15.09% (Q4 2025) and -16.06% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 22.88% |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 15.26% |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 24.21% |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 65.06% |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 11.51% |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 16.04% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 11.51% |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 16.42% |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 17.04% |
| 10 | Noodles | 82.34 Mn | 73.64 Mn | 90.30 Mn | -7.17% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -7.17% |
| Mar 31, 2026 | -13.72% |
| Dec 30, 2025 | -15.09% |
| Sep 30, 2025 | -16.06% |
| Jul 1, 2025 | -13.97% |
| Apr 1, 2025 | -11.94% |
| Dec 31, 2024 | -10.41% |
| Oct 1, 2024 | -8.52% |
| Jul 2, 2024 | -5.65% |
| Apr 2, 2024 | -1.61% |
| Jan 2, 2024 | -0.94% |
| Oct 3, 2023 | 0.37% |
| Jul 4, 2023 | 0.31% |
| Apr 4, 2023 | -1.76% |
| Sep 27, 2022 | -2.56% |
| Jun 28, 2022 | -1.20% |
| Mar 29, 2022 | 0.41% |
| Dec 28, 2021 | 2.18% |
| Sep 28, 2021 | 2.39% |
| Jun 29, 2021 | 0.78% |
API Access
Noodles Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=NDLS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=NDLS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();